Pandas Profiling Report

Dataset statistics

Number of variables	56
Number of observations	197905
Missing cells	395810
Missing cells (%)	3.6%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	399.0 MiB
Average record size in memory	2.1 KiB

Variable types

Numeric	15
Categorical	36
Boolean	3
Unsupported	2

Alerts

`tx_type` has constant value "TRANSFER"	Constant
`type_orig` has constant value "I"	Constant
`acct_stat_orig` has constant value "A"	Constant
`acct_rptng_crncy_orig` has constant value "USD"	Constant
`branch_id_orig` has constant value "1"	Constant
`open_dt_orig` has constant value "0"	Constant
`close_dt_orig` has constant value "1000000"	Constant
`bank_id_orig` has constant value "bank"	Constant
`country_orig` has constant value "US"	Constant
`type_bene` has constant value "I"	Constant
`acct_stat_bene` has constant value "A"	Constant
`acct_rptng_crncy_bene` has constant value "USD"	Constant
`branch_id_bene` has constant value "1"	Constant
`open_dt_bene` has constant value "0"	Constant
`close_dt_bene` has constant value "1000000"	Constant
`bank_id_bene` has constant value "bank"	Constant
`country_bene` has constant value "US"	Constant
`tran_timestamp` has a high cardinality: 720 distinct values	High cardinality
`dsply_nm_orig` has a high cardinality: 2090 distinct values	High cardinality
`first_name_orig` has a high cardinality: 479 distinct values	High cardinality
`last_name_orig` has a high cardinality: 715 distinct values	High cardinality
`street_addr_orig` has a high cardinality: 2090 distinct values	High cardinality
`city_orig` has a high cardinality: 1924 distinct values	High cardinality
`state_orig` has a high cardinality: 51 distinct values	High cardinality
`birth_date_orig` has a high cardinality: 2039 distinct values	High cardinality
`ssn_orig` has a high cardinality: 2090 distinct values	High cardinality
`dsply_nm_bene` has a high cardinality: 4077 distinct values	High cardinality
`first_name_bene` has a high cardinality: 582 distinct values	High cardinality
`last_name_bene` has a high cardinality: 874 distinct values	High cardinality
`street_addr_bene` has a high cardinality: 4077 distinct values	High cardinality
`city_bene` has a high cardinality: 3546 distinct values	High cardinality
`state_bene` has a high cardinality: 51 distinct values	High cardinality
`birth_date_bene` has a high cardinality: 3883 distinct values	High cardinality
`ssn_bene` has a high cardinality: 4077 distinct values	High cardinality
`orig_acct` is highly correlated with `acct_id_orig`	High correlation
`bene_acct` is highly correlated with `acct_id_bene`	High correlation
`is_sar` is highly correlated with `alert_id`	High correlation
`alert_id` is highly correlated with `is_sar`	High correlation
`acct_id_orig` is highly correlated with `orig_acct`	High correlation
`acct_id_bene` is highly correlated with `bene_acct`	High correlation
`orig_acct` is highly correlated with `acct_id_orig`	High correlation
`bene_acct` is highly correlated with `acct_id_bene`	High correlation
`is_sar` is highly correlated with `alert_id`	High correlation
`alert_id` is highly correlated with `is_sar`	High correlation
`acct_id_orig` is highly correlated with `orig_acct`	High correlation
`acct_id_bene` is highly correlated with `bene_acct`	High correlation
`orig_acct` is highly correlated with `acct_id_orig`	High correlation
`bene_acct` is highly correlated with `acct_id_bene`	High correlation
`is_sar` is highly correlated with `alert_id`	High correlation
`alert_id` is highly correlated with `is_sar`	High correlation
`acct_id_orig` is highly correlated with `orig_acct`	High correlation
`acct_id_bene` is highly correlated with `bene_acct`	High correlation
`type_bene` is highly correlated with `bank_id_bene` and 22 other fields	High correlation
`bank_id_bene` is highly correlated with `type_bene` and 22 other fields	High correlation
`country_orig` is highly correlated with `type_bene` and 22 other fields	High correlation
`close_dt_bene` is highly correlated with `type_bene` and 22 other fields	High correlation
`state_orig` is highly correlated with `type_bene` and 16 other fields	High correlation
`tx_type` is highly correlated with `type_bene` and 22 other fields	High correlation
`open_dt_orig` is highly correlated with `type_bene` and 22 other fields	High correlation
`acct_rptng_crncy_bene` is highly correlated with `type_bene` and 22 other fields	High correlation
`prior_sar_count_bene` is highly correlated with `type_bene` and 17 other fields	High correlation
`bank_id_orig` is highly correlated with `type_bene` and 22 other fields	High correlation
`open_dt_bene` is highly correlated with `type_bene` and 22 other fields	High correlation
`type_orig` is highly correlated with `type_bene` and 22 other fields	High correlation
`is_sar` is highly correlated with `type_bene` and 16 other fields	High correlation
`state_bene` is highly correlated with `type_bene` and 18 other fields	High correlation
`gender_orig` is highly correlated with `type_bene` and 16 other fields	High correlation
`acct_stat_bene` is highly correlated with `type_bene` and 22 other fields	High correlation
`gender_bene` is highly correlated with `type_bene` and 17 other fields	High correlation
`branch_id_bene` is highly correlated with `type_bene` and 22 other fields	High correlation
`prior_sar_count_orig` is highly correlated with `type_bene` and 16 other fields	High correlation
`country_bene` is highly correlated with `type_bene` and 22 other fields	High correlation
`acct_rptng_crncy_orig` is highly correlated with `type_bene` and 22 other fields	High correlation
`close_dt_orig` is highly correlated with `type_bene` and 22 other fields	High correlation
`branch_id_orig` is highly correlated with `type_bene` and 22 other fields	High correlation
`acct_stat_orig` is highly correlated with `type_bene` and 22 other fields	High correlation
`orig_acct` is highly correlated with `is_sar` and 2 other fields	High correlation
`bene_acct` is highly correlated with `acct_id_bene`	High correlation
`is_sar` is highly correlated with `orig_acct` and 2 other fields	High correlation
`alert_id` is highly correlated with `orig_acct` and 2 other fields	High correlation
`acct_id_orig` is highly correlated with `orig_acct` and 2 other fields	High correlation
`state_orig` is highly correlated with `state_bene`	High correlation
`acct_id_bene` is highly correlated with `bene_acct`	High correlation
`prior_sar_count_bene` is highly correlated with `state_bene`	High correlation
`initial_deposit_bene` is highly correlated with `state_bene` and 3 other fields	High correlation
`state_bene` is highly correlated with `state_orig` and 6 other fields	High correlation
`zip_bene` is highly correlated with `initial_deposit_bene` and 3 other fields	High correlation
`gender_bene` is highly correlated with `state_bene`	High correlation
`lon_bene` is highly correlated with `initial_deposit_bene` and 3 other fields	High correlation
`lat_bene` is highly correlated with `initial_deposit_bene` and 3 other fields	High correlation
`tx_behavior_id_orig` has 197905 (100.0%) missing values	Missing
`tx_behavior_id_bene` has 197905 (100.0%) missing values	Missing
`alert_id` is highly skewed (γ1 = 21.92226068)	Skewed
`tran_id` is uniformly distributed	Uniform
`tran_id` has unique values	Unique
`tx_behavior_id_orig` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`tx_behavior_id_bene` is an unsupported type, check if it needs cleaning or further analysis	Unsupported

Reproduction

Analysis started	2022-09-05 08:35:40.372160
Analysis finished	2022-09-05 08:40:51.754415
Duration	5 minutes and 11.38 seconds
Software version	pandas-profiling v3.2.0
Download configuration	config.json

tran_id
Real number (ℝ_≥0)

UNIFORM
UNIQUE

Distinct	197905
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	98953

Minimum	1
Maximum	197905
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	3.0 MiB

Quantile statistics

Minimum	1
5-th percentile	9896.2
Q1	49477
median	98953
Q3	148429
95-th percentile	188009.8
Maximum	197905
Range	197904
Interquartile range (IQR)	98952

Descriptive statistics

Standard deviation	57130.39685
Coefficient of variation (CV)	0.5773488105
Kurtosis	-1.2
Mean	98953
Median Absolute Deviation (MAD)	49476
Skewness	0
Sum	1.958329346 × 10¹⁰
Variance	3263882244
Monotonicity	Strictly increasing

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
2049	1	< 0.1%
182924	1	< 0.1%
33477	1	< 0.1%
39622	1	< 0.1%
37575	1	< 0.1%
60104	1	< 0.1%
58057	1	< 0.1%
64202	1	< 0.1%
62155	1	< 0.1%
51916	1	< 0.1%
Other values (197895)	197895	> 99.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	1	< 0.1%
2	1	< 0.1%
3	1	< 0.1%
4	1	< 0.1%
5	1	< 0.1%
6	1	< 0.1%
7	1	< 0.1%
8	1	< 0.1%
9	1	< 0.1%
10	1	< 0.1%

Value	Count	Frequency (%)
197905	1	< 0.1%
197904	1	< 0.1%
197903	1	< 0.1%
197902	1	< 0.1%
197901	1	< 0.1%
197900	1	< 0.1%
197899	1	< 0.1%
197898	1	< 0.1%
197897	1	< 0.1%
197896	1	< 0.1%

orig_acct
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	2090
Distinct (%)	1.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1909.848776

Minimum	0
Maximum	12007
Zeros	103
Zeros (%)	0.1%
Negative	0
Negative (%)	0.0%
Memory size	3.0 MiB

Quantile statistics

Minimum	0
5-th percentile	95
Q1	461
median	2098
Q3	2738
95-th percentile	4711
Maximum	12007
Range	12007
Interquartile range (IQR)	2277

Descriptive statistics

Standard deviation	1618.01312
Coefficient of variation (CV)	0.8471943644
Kurtosis	-0.5802615119
Mean	1909.848776
Median Absolute Deviation (MAD)	1545
Skewness	0.5934536229
Sum	377968622
Variance	2617966.456
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
2486	310	0.2%
2584	278	0.1%
2696	207	0.1%
2671	207	0.1%
533	207	0.1%
2751	207	0.1%
654	206	0.1%
392	206	0.1%
485	206	0.1%
570	206	0.1%
Other values (2080)	195665	98.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	103	0.1%
1	104	0.1%
2	103	0.1%
3	103	0.1%
4	103	0.1%
5	103	0.1%
6	103	0.1%
7	103	0.1%
8	111	0.1%
9	102	0.1%

Value	Count	Frequency (%)
12007	1	< 0.1%
11990	1	< 0.1%
11986	1	< 0.1%
11974	1	< 0.1%
11968	1	< 0.1%
11871	1	< 0.1%
11858	1	< 0.1%
11840	1	< 0.1%
11837	1	< 0.1%
11827	1	< 0.1%

bene_acct
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	4077
Distinct (%)	2.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	569.6764811

Minimum	0
Maximum	11991
Zeros	21
Zeros (%)	< 0.1%
Negative	0
Negative (%)	0.0%
Memory size	3.0 MiB

Quantile statistics

Minimum	0
5-th percentile	9
Q1	24
median	53
Q3	191
95-th percentile	4149
Maximum	11991
Range	11991
Interquartile range (IQR)	167

Descriptive statistics

Standard deviation	1695.983714
Coefficient of variation (CV)	2.977099757
Kurtosis	19.95378574
Mean	569.6764811
Median Absolute Deviation (MAD)	38
Skewness	4.364975752
Sum	112741824
Variance	2876360.758
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
25	3563	1.8%
20	3263	1.6%
13	3210	1.6%
14	3103	1.6%
27	3017	1.5%
17	2953	1.5%
24	2917	1.5%
23	2917	1.5%
18	2800	1.4%
12	2682	1.4%
Other values (4067)	167480	84.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	21	< 0.1%
1	293	0.1%
2	420	0.2%
3	1342	0.7%
4	859	0.4%
5	1295	0.7%
6	1378	0.7%
7	1746	0.9%
8	1659	0.8%
9	1563	0.8%

Value	Count	Frequency (%)
11991	1	< 0.1%
11990	1	< 0.1%
11974	1	< 0.1%
11876	3	< 0.1%
11871	1	< 0.1%
11858	1	< 0.1%
11840	1	< 0.1%
11822	70	< 0.1%
11746	1	< 0.1%
11702	1	< 0.1%

tx_type
Categorical

CONSTANT
HIGH CORRELATION
REJECTED

Distinct	1
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	13.8 MiB

TRANSFER	197905

Length

Max length	8
Median length	8
Mean length	8
Min length	8

Characters and Unicode

Total characters	1583240
Distinct characters	7
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	TRANSFER
2nd row	TRANSFER
3rd row	TRANSFER
4th row	TRANSFER
5th row	TRANSFER

Common Values

Value	Count	Frequency (%)
TRANSFER	197905	100.0%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
transfer	197905	100.0%

Most occurring characters

Value	Count	Frequency (%)
R	395810	25.0%
T	197905	12.5%
A	197905	12.5%
N	197905	12.5%
S	197905	12.5%
F	197905	12.5%
E	197905	12.5%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	1583240	100.0%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
R	395810	25.0%
T	197905	12.5%
A	197905	12.5%
N	197905	12.5%
S	197905	12.5%
F	197905	12.5%
E	197905	12.5%

Most occurring scripts

Value	Count	Frequency (%)
Latin	1583240	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
R	395810	25.0%
T	197905	12.5%
A	197905	12.5%
N	197905	12.5%
S	197905	12.5%
F	197905	12.5%
E	197905	12.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1583240	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
R	395810	25.0%
T	197905	12.5%
A	197905	12.5%
N	197905	12.5%
S	197905	12.5%
F	197905	12.5%
E	197905	12.5%

base_amt
Real number (ℝ_≥0)

Distinct	80654
Distinct (%)	40.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	546.6319096

Minimum	0.09
Maximum	999.99
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	3.0 MiB

Quantile statistics

Minimum	0.09
5-th percentile	140.992
Q1	319.58
median	546.78
Q3	772.29
95-th percentile	954.37
Maximum	999.99
Range	999.9
Interquartile range (IQR)	452.71

Descriptive statistics

Standard deviation	261.6711649
Coefficient of variation (CV)	0.4786972006
Kurtosis	-1.197072321
Mean	546.6319096
Median Absolute Deviation (MAD)	226.38
Skewness	0.0007397461412
Sum	108181188.1
Variance	68471.79854
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
565.51	11	< 0.1%
247.47	10	< 0.1%
124.69	10	< 0.1%
553.71	10	< 0.1%
988.77	10	< 0.1%
166.96	10	< 0.1%
110.26	10	< 0.1%
855.83	10	< 0.1%
122.84	10	< 0.1%
122.79	9	< 0.1%
Other values (80644)	197805	99.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0.09	1	< 0.1%
0.16	1	< 0.1%
0.25	2	< 0.1%
0.43	1	< 0.1%
0.52	1	< 0.1%
0.61	1	< 0.1%
0.91	1	< 0.1%
0.94	1	< 0.1%
1.37	1	< 0.1%
1.5	1	< 0.1%

Value	Count	Frequency (%)
999.99	1	< 0.1%
999.98	3	< 0.1%
999.97	5	< 0.1%
999.96	1	< 0.1%
999.95	4	< 0.1%
999.94	1	< 0.1%
999.93	3	< 0.1%
999.91	1	< 0.1%
999.9	1	< 0.1%
999.89	4	< 0.1%

tran_timestamp
Categorical

HIGH CARDINALITY

Distinct	720
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Memory size	16.0 MiB

2017-05-24T00:00:00Z	363
2017-04-26T00:00:00Z	363
2017-02-15T00:00:00Z	361
2017-06-14T00:00:00Z	359
2017-02-08T00:00:00Z	359
Other values (715)	196100

Length

Max length	20
Median length	20
Mean length	20
Min length	20

Characters and Unicode

Total characters	3958100
Distinct characters	14
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2017-01-01T00:00:00Z
2nd row	2017-01-01T00:00:00Z
3rd row	2017-01-01T00:00:00Z
4th row	2017-01-01T00:00:00Z
5th row	2017-01-01T00:00:00Z

Common Values

Value	Count	Frequency (%)
2017-05-24T00:00:00Z	363	0.2%
2017-04-26T00:00:00Z	363	0.2%
2017-02-15T00:00:00Z	361	0.2%
2017-06-14T00:00:00Z	359	0.2%
2017-02-08T00:00:00Z	359	0.2%
2017-02-01T00:00:00Z	359	0.2%
2017-05-03T00:00:00Z	359	0.2%
2017-06-21T00:00:00Z	359	0.2%
2017-04-19T00:00:00Z	358	0.2%
2017-05-17T00:00:00Z	358	0.2%
Other values (710)	194307	98.2%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
2017-05-24t00:00:00z	363	0.2%
2017-04-26t00:00:00z	363	0.2%
2017-02-15t00:00:00z	361	0.2%
2017-02-08t00:00:00z	359	0.2%
2017-02-01t00:00:00z	359	0.2%
2017-05-03t00:00:00z	359	0.2%
2017-06-21t00:00:00z	359	0.2%
2017-06-14t00:00:00z	359	0.2%
2017-06-28t00:00:00z	358	0.2%
2017-01-11t00:00:00z	358	0.2%
Other values (710)	194307	98.2%

Most occurring characters

Value	Count	Frequency (%)
0	1633970	41.3%
-	395810	10.0%
:	395810	10.0%
1	364403	9.2%
2	310090	7.8%
T	197905	5.0%
Z	197905	5.0%
7	155858	3.9%
8	114761	2.9%
3	46883	1.2%
Other values (4)	144705	3.7%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	2770670	70.0%
Dash Punctuation	395810	10.0%
Other Punctuation	395810	10.0%
Uppercase Letter	395810	10.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	1633970	59.0%
1	364403	13.2%
2	310090	11.2%
7	155858	5.6%
8	114761	4.1%
3	46883	1.7%
5	37164	1.3%
4	36940	1.3%
6	36153	1.3%
9	34448	1.2%

Uppercase Letter

Value	Count	Frequency (%)
T	197905	50.0%
Z	197905	50.0%

Dash Punctuation

Value	Count	Frequency (%)
-	395810	100.0%

Other Punctuation

Value	Count	Frequency (%)
:	395810	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	3562290	90.0%
Latin	395810	10.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	1633970	45.9%
-	395810	11.1%
:	395810	11.1%
1	364403	10.2%
2	310090	8.7%
7	155858	4.4%
8	114761	3.2%
3	46883	1.3%
5	37164	1.0%
4	36940	1.0%
Other values (2)	70601	2.0%

Latin

Value	Count	Frequency (%)
T	197905	50.0%
Z	197905	50.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3958100	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	1633970	41.3%
-	395810	10.0%
:	395810	10.0%
1	364403	9.2%
2	310090	7.8%
T	197905	5.0%
Z	197905	5.0%
7	155858	3.9%
8	114761	2.9%
3	46883	1.2%
Other values (4)	144705	3.7%

is_sar
Boolean

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	1.7 MiB

False	197234
True	671

Common Values
Category Frequency Plot

Value	Count	Frequency (%)
False	197234	99.7%
True	671	0.3%

alert_id
Real number (ℝ)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
SKEWED

Distinct	101
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	-0.8235466512

Minimum	-1
Maximum	99
Zeros	7
Zeros (%)	< 0.1%
Negative	197234
Negative (%)	99.7%
Memory size	3.0 MiB

Quantile statistics

Minimum	-1
5-th percentile	-1
Q1	-1
median	-1
Q3	-1
95-th percentile	-1
Maximum	99
Range	100
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	3.472224916
Coefficient of variation (CV)	-4.216184853
Kurtosis	507.7623303
Mean	-0.8235466512
Median Absolute Deviation (MAD)	0
Skewness	21.92226068
Sum	-162984
Variance	12.05634587
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
-1	197234	99.7%
74	10	< 0.1%
79	10	< 0.1%
78	10	< 0.1%
83	10	< 0.1%
62	10	< 0.1%
35	9	< 0.1%
73	9	< 0.1%
69	9	< 0.1%
19	9	< 0.1%
Other values (91)	585	0.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
-1	197234	99.7%
0	7	< 0.1%
1	5	< 0.1%
2	7	< 0.1%
3	8	< 0.1%
4	5	< 0.1%
5	6	< 0.1%
6	8	< 0.1%
7	8	< 0.1%
8	9	< 0.1%

Value	Count	Frequency (%)
99	7	< 0.1%
98	6	< 0.1%
97	6	< 0.1%
96	8	< 0.1%
95	9	< 0.1%
94	7	< 0.1%
93	5	< 0.1%
92	6	< 0.1%
91	8	< 0.1%
90	7	< 0.1%

acct_id_orig
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	2090
Distinct (%)	1.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1909.848776

Minimum	0
Maximum	12007
Zeros	103
Zeros (%)	0.1%
Negative	0
Negative (%)	0.0%
Memory size	3.0 MiB

Quantile statistics

Minimum	0
5-th percentile	95
Q1	461
median	2098
Q3	2738
95-th percentile	4711
Maximum	12007
Range	12007
Interquartile range (IQR)	2277

Descriptive statistics

Standard deviation	1618.01312
Coefficient of variation (CV)	0.8471943644
Kurtosis	-0.5802615119
Mean	1909.848776
Median Absolute Deviation (MAD)	1545
Skewness	0.5934536229
Sum	377968622
Variance	2617966.456
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
2486	310	0.2%
2584	278	0.1%
2696	207	0.1%
2671	207	0.1%
533	207	0.1%
2751	207	0.1%
654	206	0.1%
392	206	0.1%
485	206	0.1%
570	206	0.1%
Other values (2080)	195665	98.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	103	0.1%
1	104	0.1%
2	103	0.1%
3	103	0.1%
4	103	0.1%
5	103	0.1%
6	103	0.1%
7	103	0.1%
8	111	0.1%
9	102	0.1%

Value	Count	Frequency (%)
12007	1	< 0.1%
11990	1	< 0.1%
11986	1	< 0.1%
11974	1	< 0.1%
11968	1	< 0.1%
11871	1	< 0.1%
11858	1	< 0.1%
11840	1	< 0.1%
11837	1	< 0.1%
11827	1	< 0.1%

dsply_nm_orig
Categorical

HIGH CARDINALITY

Distinct	2090
Distinct (%)	1.1%
Missing	0
Missing (%)	0.0%
Memory size	13.3 MiB

C_2486	310
C_2584	278
C_2696	207
C_533	207
C_2671	207
Other values (2085)	196696

Length

Max length	7
Median length	6
Mean length	5.473257371
Min length	3

Characters and Unicode

Total characters	1083185
Distinct characters	12
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	390 ?
Unique (%)	0.2%

Sample

1st row	C_4376
2nd row	C_4300
3rd row	C_4433
4th row	C_2552
5th row	C_2552

Common Values

Value	Count	Frequency (%)
C_2486	310	0.2%
C_2584	278	0.1%
C_2696	207	0.1%
C_533	207	0.1%
C_2671	207	0.1%
C_2751	207	0.1%
C_392	206	0.1%
C_639	206	0.1%
C_557	206	0.1%
C_574	206	0.1%
Other values (2080)	195665	98.9%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
c_2486	310	0.2%
c_2584	278	0.1%
c_2696	207	0.1%
c_2751	207	0.1%
c_533	207	0.1%
c_2671	207	0.1%
c_465	206	0.1%
c_392	206	0.1%
c_654	206	0.1%
c_389	206	0.1%
Other values (2080)	195665	98.9%

Most occurring characters

Value	Count	Frequency (%)
C	197905	18.3%
_	197905	18.3%
2	116165	10.7%
4	90370	8.3%
6	72745	6.7%
5	71985	6.6%
3	67942	6.3%
7	63083	5.8%
1	62481	5.8%
9	48886	4.5%
Other values (2)	93718	8.7%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	687375	63.5%
Uppercase Letter	197905	18.3%
Connector Punctuation	197905	18.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
2	116165	16.9%
4	90370	13.1%
6	72745	10.6%
5	71985	10.5%
3	67942	9.9%
7	63083	9.2%
1	62481	9.1%
9	48886	7.1%
0	47666	6.9%
8	46052	6.7%

Uppercase Letter

Value	Count	Frequency (%)
C	197905	100.0%

Connector Punctuation

Value	Count	Frequency (%)
_	197905	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	885280	81.7%
Latin	197905	18.3%

Most frequent character per script

Common

Value	Count	Frequency (%)
_	197905	22.4%
2	116165	13.1%
4	90370	10.2%
6	72745	8.2%
5	71985	8.1%
3	67942	7.7%
7	63083	7.1%
1	62481	7.1%
9	48886	5.5%
0	47666	5.4%

Latin

Value	Count	Frequency (%)
C	197905	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1083185	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
C	197905	18.3%
_	197905	18.3%
2	116165	10.7%
4	90370	8.3%
6	72745	6.7%
5	71985	6.6%
3	67942	6.3%
7	63083	5.8%
1	62481	5.8%
9	48886	4.5%
Other values (2)	93718	8.7%

type_orig
Categorical

CONSTANT
HIGH CORRELATION
REJECTED

Distinct	1
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	12.5 MiB

I	197905

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	197905
Distinct characters	1
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	I
2nd row	I
3rd row	I
4th row	I
5th row	I

Common Values

Value	Count	Frequency (%)
I	197905	100.0%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
i	197905	100.0%

Most occurring characters

Value	Count	Frequency (%)
I	197905	100.0%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	197905	100.0%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
I	197905	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	197905	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
I	197905	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	197905	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
I	197905	100.0%

acct_stat_orig
Categorical

CONSTANT
HIGH CORRELATION
REJECTED

Distinct	1
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	12.5 MiB

A	197905

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	197905
Distinct characters	1
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	A
2nd row	A
3rd row	A
4th row	A
5th row	A

Common Values

Value	Count	Frequency (%)
A	197905	100.0%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
a	197905	100.0%

Most occurring characters

Value	Count	Frequency (%)
A	197905	100.0%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	197905	100.0%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
A	197905	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	197905	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
A	197905	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	197905	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
A	197905	100.0%

acct_rptng_crncy_orig
Categorical

CONSTANT
HIGH CORRELATION
REJECTED

Distinct	1
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	12.8 MiB

USD	197905

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	593715
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	USD
2nd row	USD
3rd row	USD
4th row	USD
5th row	USD

Common Values

Value	Count	Frequency (%)
USD	197905	100.0%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
usd	197905	100.0%

Most occurring characters

Value	Count	Frequency (%)
U	197905	33.3%
S	197905	33.3%
D	197905	33.3%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	593715	100.0%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
U	197905	33.3%
S	197905	33.3%
D	197905	33.3%

Most occurring scripts

Value	Count	Frequency (%)
Latin	593715	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
U	197905	33.3%
S	197905	33.3%
D	197905	33.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	593715	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
U	197905	33.3%
S	197905	33.3%
D	197905	33.3%

prior_sar_count_orig
Boolean

HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	1.7 MiB

False	174324
True	23581

Common Values
Category Frequency Plot

Value	Count	Frequency (%)
False	174324	88.1%
True	23581	11.9%

branch_id_orig
Categorical

CONSTANT
HIGH CORRELATION
REJECTED

Distinct	1
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	12.5 MiB

1	197905

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	197905
Distinct characters	1
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	1
3rd row	1
4th row	1
5th row	1

Common Values

Value	Count	Frequency (%)
1	197905	100.0%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
1	197905	100.0%

Most occurring characters

Value	Count	Frequency (%)
1	197905	100.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	197905	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	197905	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	197905	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	197905	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	197905	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	197905	100.0%

open_dt_orig
Categorical

CONSTANT
HIGH CORRELATION
REJECTED

Distinct	1
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	12.5 MiB

0	197905

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	197905
Distinct characters	1
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	197905	100.0%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
0	197905	100.0%

Most occurring characters

Value	Count	Frequency (%)
0	197905	100.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	197905	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	197905	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	197905	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	197905	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	197905	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	197905	100.0%

close_dt_orig
Categorical

CONSTANT
HIGH CORRELATION
REJECTED

Distinct	1
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	13.6 MiB

1000000	197905

Length

Max length	7
Median length	7
Mean length	7
Min length	7

Characters and Unicode

Total characters	1385335
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1000000
2nd row	1000000
3rd row	1000000
4th row	1000000
5th row	1000000

Common Values

Value	Count	Frequency (%)
1000000	197905	100.0%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
1000000	197905	100.0%

Most occurring characters

Value	Count	Frequency (%)
0	1187430	85.7%
1	197905	14.3%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	1385335	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	1187430	85.7%
1	197905	14.3%

Most occurring scripts

Value	Count	Frequency (%)
Common	1385335	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	1187430	85.7%
1	197905	14.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1385335	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	1187430	85.7%
1	197905	14.3%

initial_deposit_orig
Real number (ℝ_≥0)

Distinct	2090
Distinct (%)	1.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	75597.28015

Minimum	50009.28
Maximum	99999.31
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	3.0 MiB

Quantile statistics

Minimum	50009.28
5-th percentile	53209.65
Q1	63514.54
median	76142.4
Q3	87290.86
95-th percentile	97289.61
Maximum	99999.31
Range	49990.03
Interquartile range (IQR)	23776.32

Descriptive statistics

Standard deviation	13970.57272
Coefficient of variation (CV)	0.1848025841
Kurtosis	-1.157314352
Mean	75597.28015
Median Absolute Deviation (MAD)	11870.37
Skewness	-0.04921636702
Sum	1.496107973 × 10¹⁰
Variance	195176902.1
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
87199.11	310	0.2%
62288.74	278	0.1%
90983.71	207	0.1%
92422.42	207	0.1%
83668.85	207	0.1%
77381.5	207	0.1%
68754.28	206	0.1%
92961.44	206	0.1%
97514.84	206	0.1%
75858.51	206	0.1%
Other values (2080)	195665	98.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
50009.28	1	< 0.1%
50050	1	< 0.1%
50058.6	95	< 0.1%
50060.39	1	< 0.1%
50110.37	103	0.1%
50255.49	94	< 0.1%
50261.31	108	0.1%
50291.36	1	< 0.1%
50295.91	92	< 0.1%
50316.89	130	0.1%

Value	Count	Frequency (%)
99999.31	103	0.1%
99951.81	103	0.1%
99942.06	103	0.1%
99932.76	198	0.1%
99928.3	197	0.1%
99915.4	1	< 0.1%
99870.09	103	0.1%
99857.44	103	0.1%
99703.4	103	0.1%
99681.7	1	< 0.1%

tx_behavior_id_orig
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing	197905
Missing (%)	100.0%
Memory size	3.0 MiB

bank_id_orig
Categorical

CONSTANT
HIGH CORRELATION
REJECTED

Distinct	1
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	13.0 MiB

bank	197905

Length

Max length	4
Median length	4
Mean length	4
Min length	4

Characters and Unicode

Total characters	791620
Distinct characters	4
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	bank
2nd row	bank
3rd row	bank
4th row	bank
5th row	bank

Common Values

Value	Count	Frequency (%)
bank	197905	100.0%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
bank	197905	100.0%

Most occurring characters

Value	Count	Frequency (%)
b	197905	25.0%
a	197905	25.0%
n	197905	25.0%
k	197905	25.0%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	791620	100.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
b	197905	25.0%
a	197905	25.0%
n	197905	25.0%
k	197905	25.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	791620	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
b	197905	25.0%
a	197905	25.0%
n	197905	25.0%
k	197905	25.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	791620	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
b	197905	25.0%
a	197905	25.0%
n	197905	25.0%
k	197905	25.0%

first_name_orig
Categorical

HIGH CARDINALITY

Distinct	479
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	13.4 MiB

Michael	5255
David	3252
Jennifer	3142
Robert	2805
John	2626
Other values (474)	180825

Length

Max length	11
Median length	10
Mean length	6.053424623
Min length	2

Characters and Unicode

Total characters	1198003
Distinct characters	50
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	35 ?
Unique (%)	< 0.1%

Sample

1st row	Kristin
2nd row	Anthony
3rd row	Diana
4th row	Debbie
5th row	Debbie

Common Values

Value	Count	Frequency (%)
Michael	5255	2.7%
David	3252	1.6%
Jennifer	3142	1.6%
Robert	2805	1.4%
John	2626	1.3%
Nicole	2124	1.1%
Kevin	2115	1.1%
James	2093	1.1%
Daniel	2075	1.0%
William	1957	1.0%
Other values (469)	170461	86.1%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
michael	5255	2.7%
david	3252	1.6%
jennifer	3142	1.6%
robert	2805	1.4%
john	2626	1.3%
nicole	2124	1.1%
kevin	2115	1.1%
james	2093	1.1%
daniel	2075	1.0%
william	1957	1.0%
Other values (469)	170461	86.1%

Most occurring characters

Value	Count	Frequency (%)
a	141751	11.8%
e	125061	10.4%
i	98176	8.2%
n	93550	7.8%
r	82797	6.9%
l	71479	6.0%
h	58627	4.9%
t	48648	4.1%
o	47601	4.0%
y	41596	3.5%
Other values (40)	388717	32.4%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	1000098	83.5%
Uppercase Letter	197905	16.5%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	141751	14.2%
e	125061	12.5%
i	98176	9.8%
n	93550	9.4%
r	82797	8.3%
l	71479	7.1%
h	58627	5.9%
t	48648	4.9%
o	47601	4.8%
y	41596	4.2%
Other values (16)	190812	19.1%

Uppercase Letter

Value	Count	Frequency (%)
J	27225	13.8%
M	19484	9.8%
A	18542	9.4%
S	15633	7.9%
C	15348	7.8%
K	15055	7.6%
D	14423	7.3%
R	11201	5.7%
T	11150	5.6%
B	8107	4.1%
Other values (14)	41737	21.1%

Most occurring scripts

Value	Count	Frequency (%)
Latin	1198003	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	141751	11.8%
e	125061	10.4%
i	98176	8.2%
n	93550	7.8%
r	82797	6.9%
l	71479	6.0%
h	58627	4.9%
t	48648	4.1%
o	47601	4.0%
y	41596	3.5%
Other values (40)	388717	32.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1198003	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
a	141751	11.8%
e	125061	10.4%
i	98176	8.2%
n	93550	7.8%
r	82797	6.9%
l	71479	6.0%
h	58627	4.9%
t	48648	4.1%
o	47601	4.0%
y	41596	3.5%
Other values (40)	388717	32.4%

last_name_orig
Categorical

HIGH CARDINALITY

Distinct	715
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Memory size	13.4 MiB

Smith	4420
Jones	3321
Johnson	3124
Brown	2080
Williams	1959
Other values (710)	183001

Length

Max length	11
Median length	10
Mean length	6.065405119
Min length	2

Characters and Unicode

Total characters	1200374
Distinct characters	51
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	54 ?
Unique (%)	< 0.1%

Sample

1st row	Gentry
2nd row	Taylor
3rd row	Gray
4th row	Jones
5th row	Jones

Common Values

Value	Count	Frequency (%)
Smith	4420	2.2%
Jones	3321	1.7%
Johnson	3124	1.6%
Brown	2080	1.1%
Williams	1959	1.0%
Harris	1818	0.9%
Garcia	1784	0.9%
Miller	1662	0.8%
Rodriguez	1609	0.8%
Thomas	1607	0.8%
Other values (705)	174521	88.2%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
smith	4420	2.2%
jones	3321	1.7%
johnson	3124	1.6%
brown	2080	1.1%
williams	1959	1.0%
harris	1818	0.9%
garcia	1784	0.9%
miller	1662	0.8%
rodriguez	1609	0.8%
thomas	1607	0.8%
Other values (705)	174521	88.2%

Most occurring characters

Value	Count	Frequency (%)
e	119486	10.0%
r	102199	8.5%
n	102044	8.5%
o	99049	8.3%
a	94599	7.9%
s	68886	5.7%
l	66431	5.5%
i	63874	5.3%
t	45615	3.8%
h	31883	2.7%
Other values (41)	406308	33.8%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	1002469	83.5%
Uppercase Letter	197905	16.5%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	119486	11.9%
r	102199	10.2%
n	102044	10.2%
o	99049	9.9%
a	94599	9.4%
s	68886	6.9%
l	66431	6.6%
i	63874	6.4%
t	45615	4.6%
h	31883	3.2%
Other values (16)	208403	20.8%

Uppercase Letter

Value	Count	Frequency (%)
M	19263	9.7%
S	19106	9.7%
H	17601	8.9%
R	14518	7.3%
W	14110	7.1%
B	13773	7.0%
C	12583	6.4%
P	11913	6.0%
G	11543	5.8%
J	10654	5.4%
Other values (15)	52841	26.7%

Most occurring scripts

Value	Count	Frequency (%)
Latin	1200374	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	119486	10.0%
r	102199	8.5%
n	102044	8.5%
o	99049	8.3%
a	94599	7.9%
s	68886	5.7%
l	66431	5.5%
i	63874	5.3%
t	45615	3.8%
h	31883	2.7%
Other values (41)	406308	33.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1200374	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	119486	10.0%
r	102199	8.5%
n	102044	8.5%
o	99049	8.3%
a	94599	7.9%
s	68886	5.7%
l	66431	5.5%
i	63874	5.3%
t	45615	3.8%
h	31883	2.7%
Other values (41)	406308	33.8%

street_addr_orig
Categorical

HIGH CARDINALITY

Distinct	2090
Distinct (%)	1.1%
Missing	0
Missing (%)	0.0%
Memory size	16.5 MiB

43952 Caroline View	310
01225 Navarro Center Apt. 116	278
6752 Joanna Parkway	207
776 Diana Unions Apt. 503	207
920 Jose Mountain Suite 313	207
Other values (2085)	196696

Length

Max length	36
Median length	30
Mean length	22.44974104
Min length	12

Characters and Unicode

Total characters	4442916
Distinct characters	62
Distinct categories	5 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	390 ?
Unique (%)	0.2%

Sample

1st row	9548 Hooper Manors
2nd row	337 Robinson Oval
3rd row	82286 Cheryl Station
4th row	35710 Gary Summit
5th row	35710 Gary Summit

Common Values

Value	Count	Frequency (%)
43952 Caroline View	310	0.2%
01225 Navarro Center Apt. 116	278	0.1%
6752 Joanna Parkway	207	0.1%
776 Diana Unions Apt. 503	207	0.1%
920 Jose Mountain Suite 313	207	0.1%
33291 Christina Freeway	207	0.1%
364 Misty Islands Suite 079	206	0.1%
8409 Wright Prairie Apt. 862	206	0.1%
58202 Williams Plains Suite 698	206	0.1%
64140 Nathan Bridge Suite 735	206	0.1%
Other values (2080)	195665	98.9%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
apt	50266	6.3%
suite	49008	6.2%
michael	3119	0.4%
trail	2670	0.3%
james	2628	0.3%
jennifer	2476	0.3%
locks	2440	0.3%
drive	2311	0.3%
ports	2253	0.3%
mission	2244	0.3%
Other values (3178)	672848	84.9%

Most occurring characters

Value	Count	Frequency (%)
	594358	13.4%
e	273330	6.2%
a	220244	5.0%
i	194501	4.4%
t	192496	4.3%
r	185417	4.2%
n	158680	3.6%
s	155340	3.5%
o	145682	3.3%
l	130420	2.9%
Other values (52)	2192448	49.3%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	2211438	49.8%
Decimal Number	1091770	24.6%
Space Separator	594358	13.4%
Uppercase Letter	495084	11.1%
Other Punctuation	50266	1.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	273330	12.4%
a	220244	10.0%
i	194501	8.8%
t	192496	8.7%
r	185417	8.4%
n	158680	7.2%
s	155340	7.0%
o	145682	6.6%
l	130420	5.9%
u	90297	4.1%
Other values (16)	465031	21.0%

Uppercase Letter

Value	Count	Frequency (%)
S	86949	17.6%
A	65797	13.3%
C	40282	8.1%
M	34640	7.0%
P	25061	5.1%
R	24991	5.0%
J	21702	4.4%
B	21064	4.3%
L	20935	4.2%
F	19638	4.0%
Other values (14)	134025	27.1%

Decimal Number

Value	Count	Frequency (%)
5	115543	10.6%
4	112911	10.3%
1	111498	10.2%
3	111270	10.2%
2	108910	10.0%
6	108627	9.9%
8	107798	9.9%
9	106409	9.7%
7	105336	9.6%
0	103468	9.5%

Space Separator

Value	Count	Frequency (%)
	594358	100.0%

Other Punctuation

Value	Count	Frequency (%)
.	50266	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	2706522	60.9%
Common	1736394	39.1%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	273330	10.1%
a	220244	8.1%
i	194501	7.2%
t	192496	7.1%
r	185417	6.9%
n	158680	5.9%
s	155340	5.7%
o	145682	5.4%
l	130420	4.8%
u	90297	3.3%
Other values (40)	960115	35.5%

Common

Value	Count	Frequency (%)
	594358	34.2%
5	115543	6.7%
4	112911	6.5%
1	111498	6.4%
3	111270	6.4%
2	108910	6.3%
6	108627	6.3%
8	107798	6.2%
9	106409	6.1%
7	105336	6.1%
Other values (2)	153734	8.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	4442916	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	594358	13.4%
e	273330	6.2%
a	220244	5.0%
i	194501	4.4%
t	192496	4.3%
r	185417	4.2%
n	158680	3.6%
s	155340	3.5%
o	145682	3.3%
l	130420	2.9%
Other values (52)	2192448	49.3%

city_orig
Categorical

HIGH CARDINALITY

Distinct	1924
Distinct (%)	1.0%
Missing	0
Missing (%)	0.0%
Memory size	14.5 MiB

North Heather	523
Port David	470
West Matthew	449
New Megan	380
Williamstown	373
Other values (1919)	195710

Length

Max length	24
Median length	20
Mean length	12.01830171
Min length	6

Characters and Unicode

Total characters	2378482
Distinct characters	50
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	340 ?
Unique (%)	0.2%

Sample

1st row	Sarahmouth
2nd row	West Kevintown
3rd row	Nathanport
4th row	Davidbury
5th row	Davidbury

Common Values

Value	Count	Frequency (%)
North Heather	523	0.3%
Port David	470	0.2%
West Matthew	449	0.2%
New Megan	380	0.2%
Williamstown	373	0.2%
Smithmouth	370	0.2%
Port Michael	361	0.2%
Douglasfurt	359	0.2%
North Daniel	320	0.2%
Wilsonview	312	0.2%
Other values (1914)	193988	98.0%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
port	14945	5.1%
north	14247	4.9%
west	13376	4.6%
lake	12884	4.4%
east	12758	4.4%
south	12111	4.2%
new	12078	4.2%
michael	1368	0.5%
david	1122	0.4%
matthew	1021	0.4%
Other values (1641)	194394	67.0%

Most occurring characters

Value	Count	Frequency (%)
e	223797	9.4%
t	193632	8.1%
r	190821	8.0%
a	181415	7.6%
o	167361	7.0%
h	141276	5.9%
n	127565	5.4%
i	119285	5.0%
s	109225	4.6%
	92399	3.9%
Other values (40)	831706	35.0%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	1995779	83.9%
Uppercase Letter	290304	12.2%
Space Separator	92399	3.9%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	223797	11.2%
t	193632	9.7%
r	190821	9.6%
a	181415	9.1%
o	167361	8.4%
h	141276	7.1%
n	127565	6.4%
i	119285	6.0%
s	109225	5.5%
l	84057	4.2%
Other values (16)	457345	22.9%

Uppercase Letter

Value	Count	Frequency (%)
N	30953	10.7%
S	30404	10.5%
J	24666	8.5%
W	21204	7.3%
M	20500	7.1%
P	20333	7.0%
L	20322	7.0%
E	17652	6.1%
C	16894	5.8%
D	13672	4.7%
Other values (13)	73704	25.4%

Space Separator

Value	Count	Frequency (%)
	92399	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	2286083	96.1%
Common	92399	3.9%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	223797	9.8%
t	193632	8.5%
r	190821	8.3%
a	181415	7.9%
o	167361	7.3%
h	141276	6.2%
n	127565	5.6%
i	119285	5.2%
s	109225	4.8%
l	84057	3.7%
Other values (39)	747649	32.7%

Common

Value	Count	Frequency (%)
	92399	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	2378482	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	223797	9.4%
t	193632	8.1%
r	190821	8.0%
a	181415	7.6%
o	167361	7.0%
h	141276	5.9%
n	127565	5.4%
i	119285	5.0%
s	109225	4.6%
	92399	3.9%
Other values (40)	831706	35.0%

state_orig
Categorical

HIGH CARDINALITY
HIGH CORRELATION
HIGH CORRELATION

Distinct	51
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	12.6 MiB

WV	5193
TN	5102
UT	4853
KS	4772
NY	4659
Other values (46)	173326

Length

Max length	2
Median length	2
Mean length	2
Min length	2

Characters and Unicode

Total characters	395810
Distinct characters	24
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	IA
2nd row	NM
3rd row	MS
4th row	RI
5th row	RI

Common Values

Value	Count	Frequency (%)
WV	5193	2.6%
TN	5102	2.6%
UT	4853	2.5%
KS	4772	2.4%
NY	4659	2.4%
CT	4620	2.3%
HI	4614	2.3%
MO	4597	2.3%
SC	4542	2.3%
NE	4530	2.3%
Other values (41)	150423	76.0%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
wv	5193	2.6%
tn	5102	2.6%
ut	4853	2.5%
ks	4772	2.4%
ny	4659	2.4%
ct	4620	2.3%
hi	4614	2.3%
mo	4597	2.3%
sc	4542	2.3%
ne	4530	2.3%
Other values (41)	150423	76.0%

Most occurring characters

Value	Count	Frequency (%)
N	44356	11.2%
A	42484	10.7%
M	34633	8.7%
I	28958	7.3%
C	24897	6.3%
T	24695	6.2%
D	23943	6.0%
O	20485	5.2%
S	17752	4.5%
V	16171	4.1%
Other values (14)	117436	29.7%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	395810	100.0%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
N	44356	11.2%
A	42484	10.7%
M	34633	8.7%
I	28958	7.3%
C	24897	6.3%
T	24695	6.2%
D	23943	6.0%
O	20485	5.2%
S	17752	4.5%
V	16171	4.1%
Other values (14)	117436	29.7%

Most occurring scripts

Value	Count	Frequency (%)
Latin	395810	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
N	44356	11.2%
A	42484	10.7%
M	34633	8.7%
I	28958	7.3%
C	24897	6.3%
T	24695	6.2%
D	23943	6.0%
O	20485	5.2%
S	17752	4.5%
V	16171	4.1%
Other values (14)	117436	29.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	395810	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
N	44356	11.2%
A	42484	10.7%
M	34633	8.7%
I	28958	7.3%
C	24897	6.3%
T	24695	6.2%
D	23943	6.0%
O	20485	5.2%
S	17752	4.5%
V	16171	4.1%
Other values (14)	117436	29.7%

country_orig
Categorical

CONSTANT
HIGH CORRELATION
REJECTED

Distinct	1
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	12.6 MiB

US	197905

Length

Max length	2
Median length	2
Mean length	2
Min length	2

Characters and Unicode

Total characters	395810
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	US
2nd row	US
3rd row	US
4th row	US
5th row	US

Common Values

Value	Count	Frequency (%)
US	197905	100.0%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
us	197905	100.0%

Most occurring characters

Value	Count	Frequency (%)
U	197905	50.0%
S	197905	50.0%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	395810	100.0%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
U	197905	50.0%
S	197905	50.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	395810	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
U	197905	50.0%
S	197905	50.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	395810	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
U	197905	50.0%
S	197905	50.0%

zip_orig
Real number (ℝ_≥0)

Distinct	2072
Distinct (%)	1.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	50396.09035

Minimum	506
Maximum	99947
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	3.0 MiB

Quantile statistics

Minimum	506
5-th percentile	6309
Q1	25849
median	49408
Q3	75606
95-th percentile	94947
Maximum	99947
Range	99441
Interquartile range (IQR)	49757

Descriptive statistics

Standard deviation	28565.76163
Coefficient of variation (CV)	0.5668249548
Kurtosis	-1.196568599
Mean	50396.09035
Median Absolute Deviation (MAD)	25057
Skewness	0.03126071938
Sum	9973638261
Variance	816002737.7
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
61527	310	0.2%
26692	306	0.2%
49050	278	0.1%
37074	278	0.1%
90488	271	0.1%
31983	264	0.1%
56532	258	0.1%
10641	208	0.1%
98438	207	0.1%
71374	207	0.1%
Other values (2062)	195318	98.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
506	152	0.1%
608	104	0.1%
612	1	< 0.1%
751	1	< 0.1%
759	171	0.1%
886	103	0.1%
901	98	< 0.1%
922	103	0.1%
931	1	< 0.1%
997	103	0.1%

Value	Count	Frequency (%)
99947	104	0.1%
99873	198	0.1%
99868	207	0.1%
99849	103	0.1%
99757	104	0.1%
99669	1	< 0.1%
99654	103	0.1%
99489	104	0.1%
99461	103	0.1%
99396	159	0.1%

gender_orig
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	13.2 MiB

Female	100200
Male	97705

Length

Max length	6
Median length	6
Mean length	5.012607059
Min length	4

Characters and Unicode

Total characters	992020
Distinct characters	6
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Female
2nd row	Male
3rd row	Female
4th row	Female
5th row	Female

Common Values

Value	Count	Frequency (%)
Female	100200	50.6%
Male	97705	49.4%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
female	100200	50.6%
male	97705	49.4%

Most occurring characters

Value	Count	Frequency (%)
e	298105	30.1%
a	197905	19.9%
l	197905	19.9%
F	100200	10.1%
m	100200	10.1%
M	97705	9.8%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	794115	80.1%
Uppercase Letter	197905	19.9%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	298105	37.5%
a	197905	24.9%
l	197905	24.9%
m	100200	12.6%

Uppercase Letter

Value	Count	Frequency (%)
F	100200	50.6%
M	97705	49.4%

Most occurring scripts

Value	Count	Frequency (%)
Latin	992020	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	298105	30.1%
a	197905	19.9%
l	197905	19.9%
F	100200	10.1%
m	100200	10.1%
M	97705	9.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	992020	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	298105	30.1%
a	197905	19.9%
l	197905	19.9%
F	100200	10.1%
m	100200	10.1%
M	97705	9.8%

birth_date_orig
Categorical

HIGH CARDINALITY

Distinct	2039
Distinct (%)	1.0%
Missing	0
Missing (%)	0.0%
Memory size	14.2 MiB

2000-12-20	310
1980-03-09	300
1987-06-11	278
1993-03-12	268
1966-02-08	265
Other values (2034)	196484

Length

Max length	10
Median length	10
Mean length	10
Min length	10

Characters and Unicode

Total characters	1979050
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	370 ?
Unique (%)	0.2%

Sample

1st row	1915-09-20
2nd row	1964-07-31
3rd row	1908-03-01
4th row	1987-05-28
5th row	1987-05-28

Common Values

Value	Count	Frequency (%)
2000-12-20	310	0.2%
1980-03-09	300	0.2%
1987-06-11	278	0.1%
1993-03-12	268	0.1%
1966-02-08	265	0.1%
1941-08-23	263	0.1%
2013-04-28	251	0.1%
1984-12-06	237	0.1%
1994-03-22	234	0.1%
1979-03-23	231	0.1%
Other values (2029)	195268	98.7%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
2000-12-20	310	0.2%
1980-03-09	300	0.2%
1987-06-11	278	0.1%
1993-03-12	268	0.1%
1966-02-08	265	0.1%
1941-08-23	263	0.1%
2013-04-28	251	0.1%
1984-12-06	237	0.1%
1994-03-22	234	0.1%
1979-03-23	231	0.1%
Other values (2029)	195268	98.7%

Most occurring characters

Value	Count	Frequency (%)
-	395810	20.0%
1	383431	19.4%
0	325949	16.5%
9	239096	12.1%
2	201102	10.2%
3	80444	4.1%
7	77012	3.9%
4	71211	3.6%
5	70900	3.6%
8	69204	3.5%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	1583240	80.0%
Dash Punctuation	395810	20.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	383431	24.2%
0	325949	20.6%
9	239096	15.1%
2	201102	12.7%
3	80444	5.1%
7	77012	4.9%
4	71211	4.5%
5	70900	4.5%
8	69204	4.4%
6	64891	4.1%

Dash Punctuation

Value	Count	Frequency (%)
-	395810	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	1979050	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
-	395810	20.0%
1	383431	19.4%
0	325949	16.5%
9	239096	12.1%
2	201102	10.2%
3	80444	4.1%
7	77012	3.9%
4	71211	3.6%
5	70900	3.6%
8	69204	3.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1979050	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
-	395810	20.0%
1	383431	19.4%
0	325949	16.5%
9	239096	12.1%
2	201102	10.2%
3	80444	4.1%
7	77012	3.9%
4	71211	3.6%
5	70900	3.6%
8	69204	3.5%

ssn_orig
Categorical

HIGH CARDINALITY

Distinct	2090
Distinct (%)	1.1%
Missing	0
Missing (%)	0.0%
Memory size	14.3 MiB

163-03-5043	310
150-86-0169	278
324-13-1462	207
700-35-1496	207
723-87-1156	207
Other values (2085)	196696

Length

Max length	11
Median length	11
Mean length	11
Min length	11

Characters and Unicode

Total characters	2176955
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	390 ?
Unique (%)	0.2%

Sample

1st row	054-77-5471
2nd row	081-98-1984
3rd row	791-54-9738
4th row	850-93-3097
5th row	850-93-3097

Common Values

Value	Count	Frequency (%)
163-03-5043	310	0.2%
150-86-0169	278	0.1%
324-13-1462	207	0.1%
700-35-1496	207	0.1%
723-87-1156	207	0.1%
712-09-6563	207	0.1%
550-55-1944	206	0.1%
497-97-6488	206	0.1%
063-02-5690	206	0.1%
893-78-8351	206	0.1%
Other values (2080)	195665	98.9%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
163-03-5043	310	0.2%
150-86-0169	278	0.1%
324-13-1462	207	0.1%
712-09-6563	207	0.1%
700-35-1496	207	0.1%
723-87-1156	207	0.1%
691-96-0031	206	0.1%
550-55-1944	206	0.1%
584-23-1806	206	0.1%
022-09-1662	206	0.1%
Other values (2080)	195665	98.9%

Most occurring characters

Value	Count	Frequency (%)
-	395810	18.2%
5	187675	8.6%
2	183567	8.4%
0	183258	8.4%
4	181244	8.3%
7	179684	8.3%
8	177008	8.1%
3	175816	8.1%
6	173955	8.0%
1	171246	7.9%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	1781145	81.8%
Dash Punctuation	395810	18.2%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
5	187675	10.5%
2	183567	10.3%
0	183258	10.3%
4	181244	10.2%
7	179684	10.1%
8	177008	9.9%
3	175816	9.9%
6	173955	9.8%
1	171246	9.6%
9	167692	9.4%

Dash Punctuation

Value	Count	Frequency (%)
-	395810	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	2176955	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
-	395810	18.2%
5	187675	8.6%
2	183567	8.4%
0	183258	8.4%
4	181244	8.3%
7	179684	8.3%
8	177008	8.1%
3	175816	8.1%
6	173955	8.0%
1	171246	7.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	2176955	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
-	395810	18.2%
5	187675	8.6%
2	183567	8.4%
0	183258	8.4%
4	181244	8.3%
7	179684	8.3%
8	177008	8.1%
3	175816	8.1%
6	173955	8.0%
1	171246	7.9%

lon_orig
Real number (ℝ)

Distinct	2090
Distinct (%)	1.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	-2.996455728

Minimum	-179.916516
Maximum	179.828172
Zeros	0
Zeros (%)	0.0%
Negative	99532
Negative (%)	50.3%
Memory size	3.0 MiB

Quantile statistics

Minimum	-179.916516
5-th percentile	-166.253318
Q1	-89.615312
median	-1.881417
Q3	85.797743
95-th percentile	159.886936
Maximum	179.828172
Range	359.744688
Interquartile range (IQR)	175.413055

Descriptive statistics

Standard deviation	104.1711113
Coefficient of variation (CV)	-34.76477569
Kurtosis	-1.183976737
Mean	-2.996455728
Median Absolute Deviation (MAD)	87.733895
Skewness	0.003815692959
Sum	-593013.5709
Variance	10851.62042
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
-111.880543	310	0.2%
169.915619	278	0.1%
-59.699465	207	0.1%
-82.055478	207	0.1%
146.085866	207	0.1%
126.682414	207	0.1%
-151.330069	206	0.1%
-58.547696	206	0.1%
132.920961	206	0.1%
1.971809	206	0.1%
Other values (2080)	195665	98.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
-179.916516	103	0.1%
-179.8151	178	0.1%
-179.748656	103	0.1%
-179.655478	103	0.1%
-179.626986	104	0.1%
-179.561921	1	< 0.1%
-179.415897	103	0.1%
-179.300152	103	0.1%
-178.894869	104	0.1%
-178.836291	157	0.1%

Value	Count	Frequency (%)
179.828172	103	0.1%
179.622035	1	< 0.1%
179.306605	103	0.1%
179.087506	103	0.1%
179.067958	103	0.1%
178.966125	1	< 0.1%
178.800968	103	0.1%
178.665559	138	0.1%
178.516101	104	0.1%
178.332807	1	< 0.1%

lat_orig
Real number (ℝ)

Distinct	2090
Distinct (%)	1.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	-1.716914727

Minimum	-89.9007205
Maximum	89.990594
Zeros	0
Zeros (%)	0.0%
Negative	101507
Negative (%)	51.3%
Memory size	3.0 MiB

Quantile statistics

Minimum	-89.9007205
5-th percentile	-81.3917675
Q1	-48.03048
median	-2.073738
Q3	44.8270885
95-th percentile	80.655307
Maximum	89.990594
Range	179.8913145
Interquartile range (IQR)	92.8575685

Descriptive statistics

Standard deviation	52.30936772
Coefficient of variation (CV)	-30.46707382
Kurtosis	-1.226833804
Mean	-1.716914727
Median Absolute Deviation (MAD)	46.1556405
Skewness	0.03914792872
Sum	-339786.009
Variance	2736.269952
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
-85.03082	310	0.2%
-57.380361	278	0.1%
71.815678	207	0.1%
-33.9602725	207	0.1%
51.8139515	207	0.1%
43.6196455	207	0.1%
-75.6182255	206	0.1%
-18.68243	206	0.1%
46.9042895	206	0.1%
-86.9604935	206	0.1%
Other values (2080)	195665	98.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
-89.9007205	110	0.1%
-89.8762145	113	0.1%
-89.766022	103	0.1%
-89.7646755	103	0.1%
-89.611902	103	0.1%
-89.474081	103	0.1%
-89.426548	1	< 0.1%
-89.3783585	103	0.1%
-89.187009	127	0.1%
-89.174158	103	0.1%

Value	Count	Frequency (%)
89.990594	1	< 0.1%
89.7979395	103	0.1%
89.7701185	1	< 0.1%
89.7183295	175	0.1%
89.689003	116	0.1%
89.5224205	103	0.1%
89.36215	1	< 0.1%
89.193606	103	0.1%
89.1800835	161	0.1%
89.0869825	1	< 0.1%

acct_id_bene
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	4077
Distinct (%)	2.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	569.6764811

Minimum	0
Maximum	11991
Zeros	21
Zeros (%)	< 0.1%
Negative	0
Negative (%)	0.0%
Memory size	3.0 MiB

Quantile statistics

Minimum	0
5-th percentile	9
Q1	24
median	53
Q3	191
95-th percentile	4149
Maximum	11991
Range	11991
Interquartile range (IQR)	167

Descriptive statistics

Standard deviation	1695.983714
Coefficient of variation (CV)	2.977099757
Kurtosis	19.95378574
Mean	569.6764811
Median Absolute Deviation (MAD)	38
Skewness	4.364975752
Sum	112741824
Variance	2876360.758
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
25	3563	1.8%
20	3263	1.6%
13	3210	1.6%
14	3103	1.6%
27	3017	1.5%
17	2953	1.5%
24	2917	1.5%
23	2917	1.5%
18	2800	1.4%
12	2682	1.4%
Other values (4067)	167480	84.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	21	< 0.1%
1	293	0.1%
2	420	0.2%
3	1342	0.7%
4	859	0.4%
5	1295	0.7%
6	1378	0.7%
7	1746	0.9%
8	1659	0.8%
9	1563	0.8%

Value	Count	Frequency (%)
11991	1	< 0.1%
11990	1	< 0.1%
11974	1	< 0.1%
11876	3	< 0.1%
11871	1	< 0.1%
11858	1	< 0.1%
11840	1	< 0.1%
11822	70	< 0.1%
11746	1	< 0.1%
11702	1	< 0.1%

dsply_nm_bene
Categorical

HIGH CARDINALITY

Distinct	4077
Distinct (%)	2.1%
Missing	0
Missing (%)	0.0%
Memory size	13.1 MiB

C_25	3563
C_20	3263
C_13	3210
C_14	3103
C_27	3017
Other values (4072)	181749

Length

Max length	7
Median length	4
Mean length	4.419332508
Min length	3

Characters and Unicode

Total characters	874608
Distinct characters	12
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1462 ?
Unique (%)	0.7%

Sample

1st row	C_170
2nd row	C_23
3rd row	C_12
4th row	C_6503
5th row	C_6503

Common Values

Value	Count	Frequency (%)
C_25	3563	1.8%
C_20	3263	1.6%
C_13	3210	1.6%
C_14	3103	1.6%
C_27	3017	1.5%
C_17	2953	1.5%
C_23	2917	1.5%
C_24	2917	1.5%
C_18	2800	1.4%
C_12	2682	1.4%
Other values (4067)	167480	84.6%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
c_25	3563	1.8%
c_20	3263	1.6%
c_13	3210	1.6%
c_14	3103	1.6%
c_27	3017	1.5%
c_17	2953	1.5%
c_23	2917	1.5%
c_24	2917	1.5%
c_18	2800	1.4%
c_12	2682	1.4%
Other values (4067)	167480	84.6%

Most occurring characters

Value	Count	Frequency (%)
C	197905	22.6%
_	197905	22.6%
1	88710	10.1%
2	67842	7.8%
3	53856	6.2%
4	51552	5.9%
5	42801	4.9%
6	38604	4.4%
7	36673	4.2%
9	33151	3.8%
Other values (2)	65609	7.5%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	478798	54.7%
Uppercase Letter	197905	22.6%
Connector Punctuation	197905	22.6%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	88710	18.5%
2	67842	14.2%
3	53856	11.2%
4	51552	10.8%
5	42801	8.9%
6	38604	8.1%
7	36673	7.7%
9	33151	6.9%
8	33148	6.9%
0	32461	6.8%

Uppercase Letter

Value	Count	Frequency (%)
C	197905	100.0%

Connector Punctuation

Value	Count	Frequency (%)
_	197905	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	676703	77.4%
Latin	197905	22.6%

Most frequent character per script

Common

Value	Count	Frequency (%)
_	197905	29.2%
1	88710	13.1%
2	67842	10.0%
3	53856	8.0%
4	51552	7.6%
5	42801	6.3%
6	38604	5.7%
7	36673	5.4%
9	33151	4.9%
8	33148	4.9%

Latin

Value	Count	Frequency (%)
C	197905	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	874608	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
C	197905	22.6%
_	197905	22.6%
1	88710	10.1%
2	67842	7.8%
3	53856	6.2%
4	51552	5.9%
5	42801	4.9%
6	38604	4.4%
7	36673	4.2%
9	33151	3.8%
Other values (2)	65609	7.5%

type_bene
Categorical

CONSTANT
HIGH CORRELATION
REJECTED

Distinct	1
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	12.5 MiB

I	197905

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	197905
Distinct characters	1
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	I
2nd row	I
3rd row	I
4th row	I
5th row	I

Common Values

Value	Count	Frequency (%)
I	197905	100.0%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
i	197905	100.0%

Most occurring characters

Value	Count	Frequency (%)
I	197905	100.0%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	197905	100.0%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
I	197905	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	197905	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
I	197905	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	197905	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
I	197905	100.0%

acct_stat_bene
Categorical

CONSTANT
HIGH CORRELATION
REJECTED

Distinct	1
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	12.5 MiB

A	197905

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	197905
Distinct characters	1
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	A
2nd row	A
3rd row	A
4th row	A
5th row	A

Common Values

Value	Count	Frequency (%)
A	197905	100.0%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
a	197905	100.0%

Most occurring characters

Value	Count	Frequency (%)
A	197905	100.0%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	197905	100.0%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
A	197905	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	197905	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
A	197905	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	197905	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
A	197905	100.0%

acct_rptng_crncy_bene
Categorical

CONSTANT
HIGH CORRELATION
REJECTED

Distinct	1
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	12.8 MiB

USD	197905

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	593715
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	USD
2nd row	USD
3rd row	USD
4th row	USD
5th row	USD

Common Values

Value	Count	Frequency (%)
USD	197905	100.0%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
usd	197905	100.0%

Most occurring characters

Value	Count	Frequency (%)
U	197905	33.3%
S	197905	33.3%
D	197905	33.3%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	593715	100.0%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
U	197905	33.3%
S	197905	33.3%
D	197905	33.3%

Most occurring scripts

Value	Count	Frequency (%)
Latin	593715	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
U	197905	33.3%
S	197905	33.3%
D	197905	33.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	593715	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
U	197905	33.3%
S	197905	33.3%
D	197905	33.3%

prior_sar_count_bene
Boolean

HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	1.7 MiB

False	162053
True	35852

Common Values
Category Frequency Plot

Value	Count	Frequency (%)
False	162053	81.9%
True	35852	18.1%

branch_id_bene
Categorical

CONSTANT
HIGH CORRELATION
REJECTED

Distinct	1
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	12.5 MiB

1	197905

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	197905
Distinct characters	1
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	1
3rd row	1
4th row	1
5th row	1

Common Values

Value	Count	Frequency (%)
1	197905	100.0%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
1	197905	100.0%

Most occurring characters

Value	Count	Frequency (%)
1	197905	100.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	197905	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	197905	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	197905	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	197905	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	197905	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	197905	100.0%

open_dt_bene
Categorical

CONSTANT
HIGH CORRELATION
REJECTED

Distinct	1
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	12.5 MiB

0	197905

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	197905
Distinct characters	1
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	197905	100.0%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
0	197905	100.0%

Most occurring characters

Value	Count	Frequency (%)
0	197905	100.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	197905	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	197905	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	197905	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	197905	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	197905	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	197905	100.0%

close_dt_bene
Categorical

CONSTANT
HIGH CORRELATION
REJECTED

Distinct	1
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	13.6 MiB

1000000	197905

Length

Max length	7
Median length	7
Mean length	7
Min length	7

Characters and Unicode

Total characters	1385335
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1000000
2nd row	1000000
3rd row	1000000
4th row	1000000
5th row	1000000

Common Values

Value	Count	Frequency (%)
1000000	197905	100.0%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
1000000	197905	100.0%

Most occurring characters

Value	Count	Frequency (%)
0	1187430	85.7%
1	197905	14.3%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	1385335	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	1187430	85.7%
1	197905	14.3%

Most occurring scripts

Value	Count	Frequency (%)
Common	1385335	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	1187430	85.7%
1	197905	14.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1385335	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	1187430	85.7%
1	197905	14.3%

initial_deposit_bene
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	4077
Distinct (%)	2.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	74310.10622

Minimum	50001.55
Maximum	99999.31
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	3.0 MiB

Quantile statistics

Minimum	50001.55
5-th percentile	52405.77
Q1	62535.57
median	71210.53
Q3	88048.5
95-th percentile	97896.53
Maximum	99999.31
Range	49997.76
Interquartile range (IQR)	25512.93

Descriptive statistics

Standard deviation	14760.15747
Coefficient of variation (CV)	0.198629207
Kurtosis	-1.211244726
Mean	74310.10622
Median Absolute Deviation (MAD)	13116.03
Skewness	0.1628954081
Sum	1.470634157 × 10¹⁰
Variance	217862248.5
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
67858.54	3563	1.8%
51562.38	3263	1.6%
64631.3	3210	1.6%
97896.53	3103	1.6%
56983.45	3017	1.5%
62535.57	2953	1.5%
89199.14	2917	1.5%
91434.67	2917	1.5%
62618.6	2800	1.4%
52909.53	2682	1.4%
Other values (4067)	167480	84.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
50001.55	2	< 0.1%
50003.89	5	< 0.1%
50020.25	5	< 0.1%
50028.14	5	< 0.1%
50034.04	1	< 0.1%
50050	2	< 0.1%
50057.7	8	< 0.1%
50058.6	1	< 0.1%
50066.61	2	< 0.1%
50070.54	17	< 0.1%

Value	Count	Frequency (%)
99999.31	7	< 0.1%
99994.47	2	< 0.1%
99984.68	10	< 0.1%
99961.38	2	< 0.1%
99951.81	4	< 0.1%
99932.76	14	< 0.1%
99928.3	11	< 0.1%
99918.74	107	0.1%
99915.4	1	< 0.1%
99868.47	168	0.1%

tx_behavior_id_bene
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing	197905
Missing (%)	100.0%
Memory size	3.0 MiB

bank_id_bene
Categorical

CONSTANT
HIGH CORRELATION
REJECTED

Distinct	1
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	13.0 MiB

bank	197905

Length

Max length	4
Median length	4
Mean length	4
Min length	4

Characters and Unicode

Total characters	791620
Distinct characters	4
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	bank
2nd row	bank
3rd row	bank
4th row	bank
5th row	bank

Common Values

Value	Count	Frequency (%)
bank	197905	100.0%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
bank	197905	100.0%

Most occurring characters

Value	Count	Frequency (%)
b	197905	25.0%
a	197905	25.0%
n	197905	25.0%
k	197905	25.0%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	791620	100.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
b	197905	25.0%
a	197905	25.0%
n	197905	25.0%
k	197905	25.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	791620	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
b	197905	25.0%
a	197905	25.0%
n	197905	25.0%
k	197905	25.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	791620	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
b	197905	25.0%
a	197905	25.0%
n	197905	25.0%
k	197905	25.0%

first_name_bene
Categorical

HIGH CARDINALITY

Distinct	582
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Memory size	13.4 MiB

Michael	11473
John	6963
Joseph	5359
Ashley	4426
Thomas	4203
Other values (577)	165481

Length

Max length	11
Median length	10
Mean length	6.067451555
Min length	3

Characters and Unicode

Total characters	1200779
Distinct characters	50
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	42 ?
Unique (%)	< 0.1%

Sample

1st row	Rachel
2nd row	Angel
3rd row	Brett
4th row	Megan
5th row	Megan

Common Values

Value	Count	Frequency (%)
Michael	11473	5.8%
John	6963	3.5%
Joseph	5359	2.7%
Ashley	4426	2.2%
Thomas	4203	2.1%
Steven	4026	2.0%
Dawn	3752	1.9%
Julie	3595	1.8%
David	3176	1.6%
Patrick	3125	1.6%
Other values (572)	147807	74.7%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
michael	11473	5.8%
john	6963	3.5%
joseph	5359	2.7%
ashley	4426	2.2%
thomas	4203	2.1%
steven	4026	2.0%
dawn	3752	1.9%
julie	3595	1.8%
david	3176	1.6%
patrick	3125	1.6%
Other values (572)	147807	74.7%

Most occurring characters

Value	Count	Frequency (%)
e	137074	11.4%
a	129621	10.8%
n	99432	8.3%
i	90468	7.5%
r	71759	6.0%
l	71393	5.9%
h	69395	5.8%
t	62319	5.2%
o	52251	4.4%
s	44217	3.7%
Other values (40)	372850	31.1%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	1002874	83.5%
Uppercase Letter	197905	16.5%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	137074	13.7%
a	129621	12.9%
n	99432	9.9%
i	90468	9.0%
r	71759	7.2%
l	71393	7.1%
h	69395	6.9%
t	62319	6.2%
o	52251	5.2%
s	44217	4.4%
Other values (16)	174945	17.4%

Uppercase Letter

Value	Count	Frequency (%)
J	29022	14.7%
M	22261	11.2%
A	20764	10.5%
D	17195	8.7%
C	13598	6.9%
S	13251	6.7%
B	12256	6.2%
T	11107	5.6%
R	10740	5.4%
K	9860	5.0%
Other values (14)	37851	19.1%

Most occurring scripts

Value	Count	Frequency (%)
Latin	1200779	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	137074	11.4%
a	129621	10.8%
n	99432	8.3%
i	90468	7.5%
r	71759	6.0%
l	71393	5.9%
h	69395	5.8%
t	62319	5.2%
o	52251	4.4%
s	44217	3.7%
Other values (40)	372850	31.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1200779	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	137074	11.4%
a	129621	10.8%
n	99432	8.3%
i	90468	7.5%
r	71759	6.0%
l	71393	5.9%
h	69395	5.8%
t	62319	5.2%
o	52251	4.4%
s	44217	3.7%
Other values (40)	372850	31.1%

last_name_bene
Categorical

HIGH CARDINALITY

Distinct	874
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Memory size	13.4 MiB

Fisher	6240
Jones	4497
Moore	4455
Smith	4293
Ellis	4267
Other values (869)	174153

Length

Max length	11
Median length	10
Mean length	5.867678937
Min length	2

Characters and Unicode

Total characters	1161243
Distinct characters	51
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	54 ?
Unique (%)	< 0.1%

Sample

1st row	Doyle
2nd row	Fisher
3rd row	Kerr
4th row	Perry
5th row	Perry

Common Values

Value	Count	Frequency (%)
Fisher	6240	3.2%
Jones	4497	2.3%
Moore	4455	2.3%
Smith	4293	2.2%
Ellis	4267	2.2%
Irwin	3574	1.8%
Garcia	3416	1.7%
West	3353	1.7%
White	3235	1.6%
Strong	3148	1.6%
Other values (864)	157427	79.5%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
fisher	6240	3.2%
jones	4497	2.3%
moore	4455	2.3%
smith	4293	2.2%
ellis	4267	2.2%
irwin	3574	1.8%
garcia	3416	1.7%
west	3353	1.7%
white	3235	1.6%
strong	3148	1.6%
Other values (864)	157427	79.5%

Most occurring characters

Value	Count	Frequency (%)
e	116768	10.1%
r	104917	9.0%
n	99983	8.6%
a	97635	8.4%
o	81194	7.0%
i	67050	5.8%
l	65195	5.6%
s	61730	5.3%
t	46085	4.0%
h	35095	3.0%
Other values (41)	385591	33.2%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	963338	83.0%
Uppercase Letter	197905	17.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	116768	12.1%
r	104917	10.9%
n	99983	10.4%
a	97635	10.1%
o	81194	8.4%
i	67050	7.0%
l	65195	6.8%
s	61730	6.4%
t	46085	4.8%
h	35095	3.6%
Other values (16)	187686	19.5%

Uppercase Letter

Value	Count	Frequency (%)
M	17617	8.9%
S	16562	8.4%
G	16210	8.2%
H	14159	7.2%
C	13858	7.0%
F	13816	7.0%
W	12603	6.4%
B	12580	6.4%
P	10533	5.3%
T	8661	4.4%
Other values (15)	61306	31.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	1161243	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	116768	10.1%
r	104917	9.0%
n	99983	8.6%
a	97635	8.4%
o	81194	7.0%
i	67050	5.8%
l	65195	5.6%
s	61730	5.3%
t	46085	4.0%
h	35095	3.0%
Other values (41)	385591	33.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1161243	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	116768	10.1%
r	104917	9.0%
n	99983	8.6%
a	97635	8.4%
o	81194	7.0%
i	67050	5.8%
l	65195	5.6%
s	61730	5.3%
t	46085	4.0%
h	35095	3.0%
Other values (41)	385591	33.2%

street_addr_bene
Categorical

HIGH CARDINALITY

Distinct	4077
Distinct (%)	2.1%
Missing	0
Missing (%)	0.0%
Memory size	16.5 MiB

37582 Ford Route Apt. 734	3563
3751 Rachel Canyon Suite 408	3263
45229 Drake Route Apt. 113	3210
263 Wilson View Apt. 873	3103
16448 Audrey Road	3017
Other values (4072)	181749

Length

Max length	36
Median length	31
Mean length	22.66637023
Min length	12

Characters and Unicode

Total characters	4485788
Distinct characters	63
Distinct categories	5 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1462 ?
Unique (%)	0.7%

Sample

1st row	27020 Ashley Springs Apt. 150
2nd row	35833 Kelly Manor
3rd row	29456 Kelly Neck Apt. 042
4th row	0952 Kevin Village Apt. 324
5th row	0952 Kevin Village Apt. 324

Common Values

Value	Count	Frequency (%)
37582 Ford Route Apt. 734	3563	1.8%
3751 Rachel Canyon Suite 408	3263	1.6%
45229 Drake Route Apt. 113	3210	1.6%
263 Wilson View Apt. 873	3103	1.6%
16448 Audrey Road	3017	1.5%
8967 Lawson Fort	2953	1.5%
35833 Kelly Manor	2917	1.5%
37580 Ortiz Mall Suite 735	2917	1.5%
45007 Thomas Way	2800	1.4%
29456 Kelly Neck Apt. 042	2682	1.4%
Other values (4067)	167480	84.6%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
apt	56258	7.1%
suite	44604	5.6%
jennifer	7437	0.9%
route	6889	0.9%
canyon	6300	0.8%
squares	6257	0.8%
kelly	6015	0.8%
road	4493	0.6%
ford	4025	0.5%
wilson	3798	0.5%
Other values (4803)	649363	81.6%

Most occurring characters

Value	Count	Frequency (%)
	597534	13.3%
e	284098	6.3%
a	212197	4.7%
t	196414	4.4%
r	188157	4.2%
i	171641	3.8%
n	164156	3.7%
s	148770	3.3%
o	147659	3.3%
5	136075	3.0%
Other values (53)	2239087	49.9%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	2207163	49.2%
Decimal Number	1128161	25.1%
Space Separator	597534	13.3%
Uppercase Letter	496672	11.1%
Other Punctuation	56258	1.3%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	284098	12.9%
a	212197	9.6%
t	196414	8.9%
r	188157	8.5%
i	171641	7.8%
n	164156	7.4%
s	148770	6.7%
o	147659	6.7%
l	131682	6.0%
u	90218	4.1%
Other values (16)	472171	21.4%

Uppercase Letter

Value	Count	Frequency (%)
S	82071	16.5%
A	77433	15.6%
R	34465	6.9%
M	32364	6.5%
C	30597	6.2%
T	25029	5.0%
P	24953	5.0%
F	20439	4.1%
J	20290	4.1%
B	18131	3.7%
Other values (15)	130900	26.4%

Decimal Number

Value	Count	Frequency (%)
5	136075	12.1%
6	119993	10.6%
3	117265	10.4%
4	114926	10.2%
2	114116	10.1%
0	112404	10.0%
8	107573	9.5%
7	107110	9.5%
1	100300	8.9%
9	98399	8.7%

Space Separator

Value	Count	Frequency (%)
	597534	100.0%

Other Punctuation

Value	Count	Frequency (%)
.	56258	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	2703835	60.3%
Common	1781953	39.7%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	284098	10.5%
a	212197	7.8%
t	196414	7.3%
r	188157	7.0%
i	171641	6.3%
n	164156	6.1%
s	148770	5.5%
o	147659	5.5%
l	131682	4.9%
u	90218	3.3%
Other values (41)	968843	35.8%

Common

Value	Count	Frequency (%)
	597534	33.5%
5	136075	7.6%
6	119993	6.7%
3	117265	6.6%
4	114926	6.4%
2	114116	6.4%
0	112404	6.3%
8	107573	6.0%
7	107110	6.0%
1	100300	5.6%
Other values (2)	154657	8.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	4485788	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	597534	13.3%
e	284098	6.3%
a	212197	4.7%
t	196414	4.4%
r	188157	4.2%
i	171641	3.8%
n	164156	3.7%
s	148770	3.3%
o	147659	3.3%
5	136075	3.0%
Other values (53)	2239087	49.9%

city_bene
Categorical

HIGH CARDINALITY

Distinct	3546
Distinct (%)	1.8%
Missing	0
Missing (%)	0.0%
Memory size	14.5 MiB

Port Hollymouth	3563
East Clayton	3263
North Paul	3212
South Raymondborough	3103
New Daniel	3024
Other values (3541)	181740

Length

Max length	24
Median length	20
Mean length	12.05695662
Min length	6

Characters and Unicode

Total characters	2386132
Distinct characters	50
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1131 ?
Unique (%)	0.6%

Sample

1st row	Port Jeremy
2nd row	Port Davidtown
3rd row	West Richardmouth
4th row	South Oscarhaven
5th row	South Oscarhaven

Common Values

Value	Count	Frequency (%)
Port Hollymouth	3563	1.8%
East Clayton	3263	1.6%
North Paul	3212	1.6%
South Raymondborough	3103	1.6%
New Daniel	3024	1.5%
Lake Nicoleburgh	2953	1.5%
Stephanieland	2917	1.5%
Port Davidtown	2917	1.5%
Lake Hollystad	2800	1.4%
Michaelfort	2742	1.4%
Other values (3536)	167411	84.6%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
port	21164	7.1%
east	17769	5.9%
north	17106	5.7%
lake	15065	5.0%
west	11917	4.0%
new	10610	3.5%
south	8530	2.8%
michael	3936	1.3%
hollymouth	3563	1.2%
daniel	3523	1.2%
Other values (2889)	186883	62.3%

Most occurring characters

Value	Count	Frequency (%)
e	217997	9.1%
t	187598	7.9%
a	184780	7.7%
o	176097	7.4%
r	174798	7.3%
i	128539	5.4%
h	125715	5.3%
n	113539	4.8%
l	111140	4.7%
s	104440	4.4%
Other values (40)	861489	36.1%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	1983905	83.1%
Uppercase Letter	300066	12.6%
Space Separator	102161	4.3%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	217997	11.0%
t	187598	9.5%
a	184780	9.3%
o	176097	8.9%
r	174798	8.8%
i	128539	6.5%
h	125715	6.3%
n	113539	5.7%
l	111140	5.6%
s	104440	5.3%
Other values (16)	459262	23.1%

Uppercase Letter

Value	Count	Frequency (%)
N	35629	11.9%
P	29293	9.8%
S	22603	7.5%
L	22487	7.5%
W	22203	7.4%
E	21988	7.3%
M	21543	7.2%
D	20844	6.9%
J	19480	6.5%
R	14075	4.7%
Other values (13)	69921	23.3%

Space Separator

Value	Count	Frequency (%)
	102161	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	2283971	95.7%
Common	102161	4.3%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	217997	9.5%
t	187598	8.2%
a	184780	8.1%
o	176097	7.7%
r	174798	7.7%
i	128539	5.6%
h	125715	5.5%
n	113539	5.0%
l	111140	4.9%
s	104440	4.6%
Other values (39)	759328	33.2%

Common

Value	Count	Frequency (%)
	102161	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	2386132	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	217997	9.1%
t	187598	7.9%
a	184780	7.7%
o	176097	7.4%
r	174798	7.3%
i	128539	5.4%
h	125715	5.3%
n	113539	4.8%
l	111140	4.7%
s	104440	4.4%
Other values (40)	861489	36.1%

state_bene
Categorical

HIGH CARDINALITY
HIGH CORRELATION
HIGH CORRELATION

Distinct	51
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	12.6 MiB

MS	9997
NY	8240
AZ	8041
MT	7755
CA	7516
Other values (46)	156356

Length

Max length	2
Median length	2
Mean length	2
Min length	2

Characters and Unicode

Total characters	395810
Distinct characters	24
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	ME
2nd row	CA
3rd row	MT
4th row	MO
5th row	MO

Common Values

Value	Count	Frequency (%)
MS	9997	5.1%
NY	8240	4.2%
AZ	8041	4.1%
MT	7755	3.9%
CA	7516	3.8%
WY	6827	3.4%
SC	6363	3.2%
ME	6145	3.1%
ND	6043	3.1%
IL	5374	2.7%
Other values (41)	125604	63.5%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
ms	9997	5.1%
ny	8240	4.2%
az	8041	4.1%
mt	7755	3.9%
ca	7516	3.8%
wy	6827	3.4%
sc	6363	3.2%
me	6145	3.1%
nd	6043	3.1%
il	5374	2.7%
Other values (41)	125604	63.5%

Most occurring characters

Value	Count	Frequency (%)
A	42182	10.7%
M	41844	10.6%
N	41229	10.4%
I	27679	7.0%
T	25148	6.4%
D	24529	6.2%
S	23676	6.0%
C	22625	5.7%
L	18770	4.7%
Y	16754	4.2%
Other values (14)	111374	28.1%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	395810	100.0%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
A	42182	10.7%
M	41844	10.6%
N	41229	10.4%
I	27679	7.0%
T	25148	6.4%
D	24529	6.2%
S	23676	6.0%
C	22625	5.7%
L	18770	4.7%
Y	16754	4.2%
Other values (14)	111374	28.1%

Most occurring scripts

Value	Count	Frequency (%)
Latin	395810	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
A	42182	10.7%
M	41844	10.6%
N	41229	10.4%
I	27679	7.0%
T	25148	6.4%
D	24529	6.2%
S	23676	6.0%
C	22625	5.7%
L	18770	4.7%
Y	16754	4.2%
Other values (14)	111374	28.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	395810	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
A	42182	10.7%
M	41844	10.6%
N	41229	10.4%
I	27679	7.0%
T	25148	6.4%
D	24529	6.2%
S	23676	6.0%
C	22625	5.7%
L	18770	4.7%
Y	16754	4.2%
Other values (14)	111374	28.1%

country_bene
Categorical

CONSTANT
HIGH CORRELATION
REJECTED

Distinct	1
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	12.6 MiB

US	197905

Length

Max length	2
Median length	2
Mean length	2
Min length	2

Characters and Unicode

Total characters	395810
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	US
2nd row	US
3rd row	US
4th row	US
5th row	US

Common Values

Value	Count	Frequency (%)
US	197905	100.0%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
us	197905	100.0%

Most occurring characters

Value	Count	Frequency (%)
U	197905	50.0%
S	197905	50.0%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	395810	100.0%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
U	197905	50.0%
S	197905	50.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	395810	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
U	197905	50.0%
S	197905	50.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	395810	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
U	197905	50.0%
S	197905	50.0%

zip_bene
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	4010
Distinct (%)	2.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	50422.24855

Minimum	520
Maximum	99947
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	3.0 MiB

Quantile statistics

Minimum	520
5-th percentile	5710
Q1	26581
median	50399
Q3	75181
95-th percentile	93812
Maximum	99947
Range	99427
Interquartile range (IQR)	48600

Descriptive statistics

Standard deviation	28696.92827
Coefficient of variation (CV)	0.5691322601
Kurtosis	-1.227654096
Mean	50422.24855
Median Absolute Deviation (MAD)	24584
Skewness	0.04988004321
Sum	9978815099
Variance	823513692.3
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
39633	3563	1.8%
66353	3263	1.6%
73439	3210	1.6%
28798	3103	1.6%
53377	3017	1.5%
75246	2953	1.5%
92535	2917	1.5%
14737	2917	1.5%
80687	2800	1.4%
14742	2682	1.4%
Other values (4000)	167480	84.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
520	1	< 0.1%
529	3	< 0.1%
589	3	< 0.1%
608	225	0.1%
612	1	< 0.1%
676	8	< 0.1%
751	1	< 0.1%
786	2	< 0.1%
790	1	< 0.1%
832	1	< 0.1%

Value	Count	Frequency (%)
99947	4	< 0.1%
99873	14	< 0.1%
99868	1	< 0.1%
99833	1	< 0.1%
99816	10	< 0.1%
99809	3	< 0.1%
99774	1	< 0.1%
99754	2	< 0.1%
99738	4	< 0.1%
99678	2	< 0.1%

gender_bene
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	13.2 MiB

Female	100345
Male	97560

Length

Max length	6
Median length	6
Mean length	5.014072408
Min length	4

Characters and Unicode

Total characters	992310
Distinct characters	6
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Female
2nd row	Female
3rd row	Male
4th row	Female
5th row	Female

Common Values

Value	Count	Frequency (%)
Female	100345	50.7%
Male	97560	49.3%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
female	100345	50.7%
male	97560	49.3%

Most occurring characters

Value	Count	Frequency (%)
e	298250	30.1%
a	197905	19.9%
l	197905	19.9%
F	100345	10.1%
m	100345	10.1%
M	97560	9.8%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	794405	80.1%
Uppercase Letter	197905	19.9%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	298250	37.5%
a	197905	24.9%
l	197905	24.9%
m	100345	12.6%

Uppercase Letter

Value	Count	Frequency (%)
F	100345	50.7%
M	97560	49.3%

Most occurring scripts

Value	Count	Frequency (%)
Latin	992310	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	298250	30.1%
a	197905	19.9%
l	197905	19.9%
F	100345	10.1%
m	100345	10.1%
M	97560	9.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	992310	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	298250	30.1%
a	197905	19.9%
l	197905	19.9%
F	100345	10.1%
m	100345	10.1%
M	97560	9.8%

birth_date_bene
Categorical

HIGH CARDINALITY

Distinct	3883
Distinct (%)	2.0%
Missing	0
Missing (%)	0.0%
Memory size	14.2 MiB

1947-03-18	3563
1947-10-11	3263
1972-09-21	3210
1968-08-11	3103
1944-02-22	3017
Other values (3878)	181749

Length

Max length	10
Median length	10
Mean length	10
Min length	10

Characters and Unicode

Total characters	1979050
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1337 ?
Unique (%)	0.7%

Sample

1st row	1979-03-23
2nd row	1981-03-08
3rd row	1970-09-25
4th row	1994-11-08
5th row	1994-11-08

Common Values

Value	Count	Frequency (%)
1947-03-18	3563	1.8%
1947-10-11	3263	1.6%
1972-09-21	3210	1.6%
1968-08-11	3103	1.6%
1944-02-22	3017	1.5%
1941-11-18	2953	1.5%
1981-03-08	2917	1.5%
1999-11-20	2917	1.5%
1920-01-13	2800	1.4%
1970-09-25	2682	1.4%
Other values (3873)	167480	84.6%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
1947-03-18	3563	1.8%
1947-10-11	3263	1.6%
1972-09-21	3210	1.6%
1968-08-11	3103	1.6%
1944-02-22	3017	1.5%
1941-11-18	2953	1.5%
1981-03-08	2917	1.5%
1999-11-20	2917	1.5%
1920-01-13	2800	1.4%
1970-09-25	2682	1.4%
Other values (3873)	167480	84.6%

Most occurring characters

Value	Count	Frequency (%)
1	410683	20.8%
-	395810	20.0%
0	303153	15.3%
9	248239	12.5%
2	188642	9.5%
4	85170	4.3%
3	78284	4.0%
8	77119	3.9%
7	71926	3.6%
5	64348	3.3%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	1583240	80.0%
Dash Punctuation	395810	20.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	410683	25.9%
0	303153	19.1%
9	248239	15.7%
2	188642	11.9%
4	85170	5.4%
3	78284	4.9%
8	77119	4.9%
7	71926	4.5%
5	64348	4.1%
6	55676	3.5%

Dash Punctuation

Value	Count	Frequency (%)
-	395810	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	1979050	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	410683	20.8%
-	395810	20.0%
0	303153	15.3%
9	248239	12.5%
2	188642	9.5%
4	85170	4.3%
3	78284	4.0%
8	77119	3.9%
7	71926	3.6%
5	64348	3.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1979050	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	410683	20.8%
-	395810	20.0%
0	303153	15.3%
9	248239	12.5%
2	188642	9.5%
4	85170	4.3%
3	78284	4.0%
8	77119	3.9%
7	71926	3.6%
5	64348	3.3%

ssn_bene
Categorical

HIGH CARDINALITY

Distinct	4077
Distinct (%)	2.1%
Missing	0
Missing (%)	0.0%
Memory size	14.3 MiB

559-78-2560	3563
117-19-6980	3263
808-75-3560	3210
388-47-8953	3103
300-57-6092	3017
Other values (4072)	181749

Length

Max length	11
Median length	11
Mean length	11
Min length	11

Characters and Unicode

Total characters	2176955
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1462 ?
Unique (%)	0.7%

Sample

1st row	322-84-8146
2nd row	427-95-2332
3rd row	346-44-2037
4th row	010-77-8442
5th row	010-77-8442

Common Values

Value	Count	Frequency (%)
559-78-2560	3563	1.8%
117-19-6980	3263	1.6%
808-75-3560	3210	1.6%
388-47-8953	3103	1.6%
300-57-6092	3017	1.5%
845-39-6686	2953	1.5%
158-90-7310	2917	1.5%
427-95-2332	2917	1.5%
483-20-0332	2800	1.4%
346-44-2037	2682	1.4%
Other values (4067)	167480	84.6%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
559-78-2560	3563	1.8%
117-19-6980	3263	1.6%
808-75-3560	3210	1.6%
388-47-8953	3103	1.6%
300-57-6092	3017	1.5%
845-39-6686	2953	1.5%
158-90-7310	2917	1.5%
427-95-2332	2917	1.5%
483-20-0332	2800	1.4%
346-44-2037	2682	1.4%
Other values (4067)	167480	84.6%

Most occurring characters

Value	Count	Frequency (%)
-	395810	18.2%
8	201874	9.3%
0	191083	8.8%
3	188989	8.7%
7	187959	8.6%
5	183069	8.4%
6	181016	8.3%
1	173699	8.0%
2	168368	7.7%
4	161416	7.4%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	1781145	81.8%
Dash Punctuation	395810	18.2%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
8	201874	11.3%
0	191083	10.7%
3	188989	10.6%
7	187959	10.6%
5	183069	10.3%
6	181016	10.2%
1	173699	9.8%
2	168368	9.5%
4	161416	9.1%
9	143672	8.1%

Dash Punctuation

Value	Count	Frequency (%)
-	395810	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	2176955	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
-	395810	18.2%
8	201874	9.3%
0	191083	8.8%
3	188989	8.7%
7	187959	8.6%
5	183069	8.4%
6	181016	8.3%
1	173699	8.0%
2	168368	7.7%
4	161416	7.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	2176955	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
-	395810	18.2%
8	201874	9.3%
0	191083	8.8%
3	188989	8.7%
7	187959	8.6%
5	183069	8.4%
6	181016	8.3%
1	173699	8.0%
2	168368	7.7%
4	161416	7.4%

lon_bene
Real number (ℝ)

HIGH CORRELATION

Distinct	4077
Distinct (%)	2.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2.39381994

Minimum	-179.916516
Maximum	179.964418
Zeros	0
Zeros (%)	0.0%
Negative	90886
Negative (%)	45.9%
Memory size	3.0 MiB

Quantile statistics

Minimum	-179.916516
5-th percentile	-162.655577
Q1	-85.065895
median	9.70636
Q3	86.60361
95-th percentile	155.184031
Maximum	179.964418
Range	359.880934
Interquartile range (IQR)	171.669505

Descriptive statistics

Standard deviation	101.4968216
Coefficient of variation (CV)	42.39952215
Kurtosis	-1.161064881
Mean	2.39381994
Median Absolute Deviation (MAD)	89.587768
Skewness	-0.1245557045
Sum	473748.9352
Variance	10301.60478
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
47.745511	3563	1.8%
123.8759	3263	1.6%
47.116838	3210	1.6%
-98.752978	3103	1.6%
125.067738	3017	1.5%
26.244182	2953	1.5%
34.091723	2917	1.5%
137.331791	2917	1.5%
-162.570237	2800	1.4%
77.207619	2682	1.4%
Other values (4067)	167480	84.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
-179.916516	1	< 0.1%
-179.883548	92	< 0.1%
-179.8151	21	< 0.1%
-179.748656	26	< 0.1%
-179.626986	9	< 0.1%
-179.561921	7	< 0.1%
-179.523927	106	0.1%
-179.415897	34	< 0.1%
-179.300152	358	0.2%
-179.225681	1	< 0.1%

Value	Count	Frequency (%)
179.964418	2	< 0.1%
179.828172	17	< 0.1%
179.754066	14	< 0.1%
179.720953	1	< 0.1%
179.642992	1	< 0.1%
179.358416	1	< 0.1%
179.225016	2	< 0.1%
179.205156	1	< 0.1%
179.087506	14	< 0.1%
179.067958	2	< 0.1%

lat_bene
Real number (ℝ)

HIGH CORRELATION

Distinct	4077
Distinct (%)	2.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	-0.5862502169

Minimum	-89.9928075
Maximum	89.990594
Zeros	0
Zeros (%)	0.0%
Negative	95408
Negative (%)	48.2%
Memory size	3.0 MiB

Quantile statistics

Minimum	-89.9928075
5-th percentile	-79.749951
Q1	-51.3219645
median	1.888823
Q3	45.7156515
95-th percentile	78.795143
Maximum	89.990594
Range	179.9834015
Interquartile range (IQR)	97.037616

Descriptive statistics

Standard deviation	53.06859423
Coefficient of variation (CV)	-90.52208886
Kurtosis	-1.309846563
Mean	-0.5862502169
Median Absolute Deviation (MAD)	49.9046965
Skewness	0.03324069213
Sum	-116021.8492
Variance	2816.275693
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
36.5498485	3563	1.8%
23.2949335	3263	1.6%
-67.5418185	3210	1.6%
-61.882385	3103	1.6%
78.795143	3017	1.5%
12.993162	2953	1.5%
23.330428	2917	1.5%
-40.2372505	2917	1.5%
70.605002	2800	1.4%
-58.859323	2682	1.4%
Other values (4067)	167480	84.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
-89.9928075	2	< 0.1%
-89.945993	1	< 0.1%
-89.9007205	692	0.3%
-89.8762145	3	< 0.1%
-89.8091125	2	< 0.1%
-89.766022	1	< 0.1%
-89.7646755	1	< 0.1%
-89.668381	46	< 0.1%
-89.611902	25	< 0.1%
-89.536028	10	< 0.1%

Value	Count	Frequency (%)
89.990594	1	< 0.1%
89.8528015	8	< 0.1%
89.7979395	1	< 0.1%
89.778164	1	< 0.1%
89.7701185	1	< 0.1%
89.7613825	17	< 0.1%
89.7043315	1	< 0.1%
89.689003	3	< 0.1%
89.6208195	71	< 0.1%
89.6184105	1	< 0.1%

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.

Cramér's V (φc)

Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Matrix
Dendrogram

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

The dendrogram allows you to more fully correlate variable completion, revealing trends deeper than the pairwise ones visible in the correlation heatmap.

First rows

	tran_id	orig_acct	bene_acct	tx_type	base_amt	tran_timestamp	is_sar	alert_id	acct_id_orig	dsply_nm_orig	type_orig	acct_stat_orig	acct_rptng_crncy_orig	prior_sar_count_orig	branch_id_orig	close_dt_orig	initial_deposit_orig	tx_behavior_id_orig	bank_id_orig	first_name_orig	last_name_orig	street_addr_orig	city_orig	state_orig	country_orig	zip_orig	gender_orig	birth_date_orig	ssn_orig	lon_orig	lat_orig	acct_id_bene	dsply_nm_bene	type_bene	acct_stat_bene	acct_rptng_crncy_bene	prior_sar_count_bene	branch_id_bene	close_dt_bene	initial_deposit_bene	tx_behavior_id_bene	bank_id_bene	first_name_bene	last_name_bene	street_addr_bene	city_bene	state_bene	country_bene	zip_bene	gender_bene	birth_date_bene	ssn_bene	lon_bene	lat_bene
0	1	4376	170	TRANSFER	885.30	2017-01-01T00:00:00Z	False	-1	4376	C_4376	I	A	USD	False	1	1000000	63446.28	NaN	bank	Kristin	Gentry	9548 Hooper Manors	Sarahmouth	IA	US	98692	Female	1915-09-20	054-77-5471	90.066499	34.092692	170	C_170	I	A	USD	False	1	1000000	84168.61	NaN	bank	Rachel	Doyle	27020 Ashley Springs Apt. 150	Port Jeremy	ME	US	74661	Female	1979-03-23	322-84-8146	151.101223	45.779955
1	2	4300	23	TRANSFER	630.41	2017-01-01T00:00:00Z	False	-1	4300	C_4300	I	A	USD	False	1	1000000	79684.15	NaN	bank	Anthony	Taylor	337 Robinson Oval	West Kevintown	NM	US	86415	Male	1964-07-31	081-98-1984	-22.181147	8.679320	23	C_23	I	A	USD	False	1	1000000	89199.14	NaN	bank	Angel	Fisher	35833 Kelly Manor	Port Davidtown	CA	US	92535	Female	1981-03-08	427-95-2332	137.331791	23.330428
2	3	4433	12	TRANSFER	393.14	2017-01-01T00:00:00Z	False	-1	4433	C_4433	I	A	USD	False	1	1000000	64630.28	NaN	bank	Diana	Gray	82286 Cheryl Station	Nathanport	MS	US	87062	Female	1908-03-01	791-54-9738	-91.241754	-9.061343	12	C_12	I	A	USD	False	1	1000000	52909.53	NaN	bank	Brett	Kerr	29456 Kelly Neck Apt. 042	West Richardmouth	MT	US	14742	Male	1970-09-25	346-44-2037	77.207619	-58.859323
3	4	2552	6503	TRANSFER	659.74	2017-01-01T00:00:00Z	False	-1	2552	C_2552	I	A	USD	False	1	1000000	79188.34	NaN	bank	Debbie	Jones	35710 Gary Summit	Davidbury	RI	US	54433	Female	1987-05-28	850-93-3097	-16.454245	-39.859187	6503	C_6503	I	A	USD	False	1	1000000	57537.45	NaN	bank	Megan	Perry	0952 Kevin Village Apt. 324	South Oscarhaven	MO	US	85424	Female	1994-11-08	010-77-8442	-128.496888	-44.919702
4	5	2552	6503	TRANSFER	442.44	2017-01-01T00:00:00Z	False	-1	2552	C_2552	I	A	USD	False	1	1000000	79188.34	NaN	bank	Debbie	Jones	35710 Gary Summit	Davidbury	RI	US	54433	Female	1987-05-28	850-93-3097	-16.454245	-39.859187	6503	C_6503	I	A	USD	False	1	1000000	57537.45	NaN	bank	Megan	Perry	0952 Kevin Village Apt. 324	South Oscarhaven	MO	US	85424	Female	1994-11-08	010-77-8442	-128.496888	-44.919702
5	6	281	75	TRANSFER	140.06	2017-01-01T00:00:00Z	False	-1	281	C_281	I	A	USD	True	1	1000000	87074.80	NaN	bank	Terri	Livingston	5466 Ray Orchard Suite 327	Dennisshire	DC	US	33427	Female	1943-12-03	109-41-1827	-177.699428	-37.154597	75	C_75	I	A	USD	False	1	1000000	50335.69	NaN	bank	Christopher	Mayer	8576 Branch Island	Jonesbury	DE	US	99020	Male	1969-05-10	725-70-3441	17.502090	-77.490069
6	7	553	400	TRANSFER	612.57	2017-01-01T00:00:00Z	False	-1	553	C_553	I	A	USD	False	1	1000000	76295.34	NaN	bank	Monica	Newman	55690 Jennifer Row Suite 574	New Victoriastad	HI	US	70812	Female	1913-09-16	776-46-6860	8.158774	-53.763205	400	C_400	I	A	USD	False	1	1000000	85853.72	NaN	bank	Vanessa	Gillespie	898 Christina Lodge Apt. 119	Perkinsport	AL	US	13342	Female	1998-06-19	593-64-5768	149.698846	20.289089
7	8	240	990	TRANSFER	665.62	2017-01-01T00:00:00Z	False	-1	240	C_240	I	A	USD	False	1	1000000	76874.34	NaN	bank	Travis	Richardson	780 Sanchez Forks	Kristinehaven	WV	US	4843	Male	1934-07-09	250-25-5176	-170.532140	77.683888	990	C_990	I	A	USD	False	1	1000000	70044.46	NaN	bank	Patrick	Coleman	4439 Lauren Via Apt. 396	South Michaeltown	AK	US	7652	Male	1962-04-01	696-54-8587	-156.829278	83.080294
8	9	668	132	TRANSFER	970.50	2017-01-01T00:00:00Z	False	-1	668	C_668	I	A	USD	False	1	1000000	60794.76	NaN	bank	Jamie	Smith	64474 Anthony Ports Apt. 280	Jacksonhaven	MS	US	88877	Female	2003-10-14	848-66-0746	-30.672510	23.072227	132	C_132	I	A	USD	False	1	1000000	60784.17	NaN	bank	Scott	Trujillo	955 Wilson Turnpike Apt. 652	Boothbury	TX	US	96682	Male	2008-01-19	743-81-6309	142.057062	-86.030230
9	10	2085	104	TRANSFER	945.46	2017-01-01T00:00:00Z	False	-1	2085	C_2085	I	A	USD	False	1	1000000	88190.98	NaN	bank	Kenneth	Carroll	532 White Mountain Apt. 758	West Matthewtown	OK	US	50926	Male	1960-05-01	155-63-5647	155.566388	-43.754245	104	C_104	I	A	USD	True	1	1000000	67881.53	NaN	bank	Luke	Vazquez	94312 Dickson Falls Apt. 905	Gregoryview	VA	US	92174	Male	1944-03-25	811-77-3614	-177.814657	-51.498302

Last rows

	tran_id	orig_acct	bene_acct	tx_type	base_amt	tran_timestamp	is_sar	alert_id	acct_id_orig	dsply_nm_orig	type_orig	acct_stat_orig	acct_rptng_crncy_orig	prior_sar_count_orig	branch_id_orig	close_dt_orig	initial_deposit_orig	tx_behavior_id_orig	bank_id_orig	first_name_orig	last_name_orig	street_addr_orig	city_orig	state_orig	country_orig	zip_orig	gender_orig	birth_date_orig	ssn_orig	lon_orig	lat_orig	acct_id_bene	dsply_nm_bene	type_bene	acct_stat_bene	acct_rptng_crncy_bene	prior_sar_count_bene	branch_id_bene	close_dt_bene	initial_deposit_bene	tx_behavior_id_bene	bank_id_bene	first_name_bene	last_name_bene	street_addr_bene	city_bene	state_bene	country_bene	zip_bene	gender_bene	birth_date_bene	ssn_bene	lon_bene	lat_bene
197895	197896	443	64	TRANSFER	475.66	2018-12-21T00:00:00Z	False	-1	443	C_443	I	A	USD	False	1	1000000	53563.64	NaN	bank	Maria	Morris	01749 Hamilton Course Suite 336	Ryanmouth	NV	US	58712	Female	2007-06-25	270-42-6506	158.695715	4.960740	64	C_64	I	A	USD	False	1	1000000	91528.28	NaN	bank	John	Knight	79148 Pierce Lock Suite 423	Erikberg	CA	US	9478	Male	1962-01-08	570-12-4351	78.928510	-28.354113
197896	197897	4651	6029	TRANSFER	632.00	2018-12-21T00:00:00Z	False	-1	4651	C_4651	I	A	USD	False	1	1000000	74115.62	NaN	bank	Patrick	Carter	819 Todd Springs Apt. 444	East Jasmine	MI	US	16810	Male	2021-03-27	551-69-0740	-114.040699	87.307068	6029	C_6029	I	A	USD	False	1	1000000	95516.71	NaN	bank	Ricky	Moran	6055 James Mountain	West Michaelfurt	KS	US	73789	Male	1985-02-22	596-73-9766	-122.899768	29.258724
197897	197898	265	14	TRANSFER	188.37	2018-12-21T00:00:00Z	False	-1	265	C_265	I	A	USD	False	1	1000000	50781.53	NaN	bank	Oscar	Long	10723 Duncan Corner	Lindaview	NE	US	16047	Male	1906-10-18	751-37-9051	-19.166474	21.546422	14	C_14	I	A	USD	False	1	1000000	97896.53	NaN	bank	Loretta	Garcia	263 Wilson View Apt. 873	South Raymondborough	AZ	US	28798	Female	1968-08-11	388-47-8953	-98.752978	-61.882385
197898	197899	105	13	TRANSFER	116.02	2018-12-21T00:00:00Z	False	-1	105	C_105	I	A	USD	True	1	1000000	82521.54	NaN	bank	Teresa	Walsh	2278 Wesley Forges	South Leslie	NV	US	30836	Female	1943-09-12	692-91-3093	-126.107214	3.898918	13	C_13	I	A	USD	True	1	1000000	64631.30	NaN	bank	Joseph	West	45229 Drake Route Apt. 113	North Paul	MO	US	73439	Male	1972-09-21	808-75-3560	47.116838	-67.541819
197899	197900	675	270	TRANSFER	502.13	2018-12-21T00:00:00Z	False	-1	675	C_675	I	A	USD	False	1	1000000	70050.90	NaN	bank	Shannon	Farmer	4304 Rachel Station	Lake Arthur	AL	US	98648	Female	1906-12-04	023-13-9841	63.258068	-48.716837	270	C_270	I	A	USD	True	1	1000000	64211.03	NaN	bank	Sharon	Lester	081 Jennifer Knolls	Lake Jamie	CT	US	6500	Female	1965-02-14	894-40-4477	29.023500	73.279432
197900	197901	2948	51	TRANSFER	675.30	2018-12-21T00:00:00Z	False	-1	2948	C_2948	I	A	USD	False	1	1000000	73456.24	NaN	bank	Craig	Davies	0223 Morris Alley	Haasstad	OR	US	67265	Male	1973-01-05	457-22-4927	-36.387102	17.815641	51	C_51	I	A	USD	False	1	1000000	71122.41	NaN	bank	Thomas	Taylor	78209 Darlene Bypass Suite 137	Port Stephen	VT	US	44235	Male	2011-03-24	570-08-8904	-135.752957	48.961165
197901	197902	276	7688	TRANSFER	864.55	2018-12-21T00:00:00Z	False	-1	276	C_276	I	A	USD	False	1	1000000	58993.69	NaN	bank	Deborah	Taylor	2431 Chan Locks Suite 711	East Stephen	MN	US	99654	Female	1907-04-04	713-48-7280	-26.589242	87.513537	7688	C_7688	I	A	USD	False	1	1000000	64648.90	NaN	bank	Ryan	Nolan	9178 Rios Harbors	Stephenfurt	VA	US	68882	Male	1968-05-06	804-47-2664	12.712477	-20.559546
197902	197903	885	198	TRANSFER	682.87	2018-12-21T00:00:00Z	False	-1	885	C_885	I	A	USD	False	1	1000000	51234.09	NaN	bank	Kathy	Soto	84966 Lee Summit	West Victor	GA	US	10250	Female	1943-10-30	505-26-3083	132.292923	-12.501948	198	C_198	I	A	USD	True	1	1000000	85152.71	NaN	bank	Mary	Armstrong	0663 Cassandra Turnpike Apt. 665	Brockfurt	KY	US	62557	Female	1908-02-26	089-05-2474	150.926033	60.113135
197903	197904	4278	639	TRANSFER	780.68	2018-12-21T00:00:00Z	False	-1	4278	C_4278	I	A	USD	False	1	1000000	66156.31	NaN	bank	Jason	Russell	338 Stark Place Apt. 354	Danielsfurt	KS	US	20916	Male	1997-08-07	029-78-0320	-122.588376	71.009383	639	C_639	I	A	USD	False	1	1000000	96278.77	NaN	bank	Anthony	Bennett	64140 Nathan Bridge Suite 735	Heathertown	UT	US	48158	Male	2011-09-10	022-09-1662	1.971809	51.773742
197904	197905	501	42	TRANSFER	459.01	2018-12-21T00:00:00Z	False	-1	501	C_501	I	A	USD	False	1	1000000	88951.73	NaN	bank	Kelly	Hernandez	0158 William Forest Suite 737	East Nathanielstad	NV	US	32156	Female	1919-07-20	891-87-6326	50.219044	-6.270679	42	C_42	I	A	USD	False	1	1000000	70573.82	NaN	bank	Steven	Pierce	07154 Stephen Parkways Suite 265	Lindafurt	ME	US	70013	Male	1910-12-23	792-69-9348	116.403981	-19.550031

Overview

Variables

Common Values

Length

Category Frequency Plot

Most occurring characters

Most occurring categories

Most frequent character per category

Uppercase Letter

Most occurring scripts

Most frequent character per script

Latin

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

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Most occurring categories

Most frequent character per category

Decimal Number

Uppercase Letter

Dash Punctuation

Other Punctuation

Most occurring scripts

Most frequent character per script

Common

Latin

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Uppercase Letter

Connector Punctuation

Most occurring scripts

Most frequent character per script

Common

Latin

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Category Frequency Plot

Most occurring characters

Most occurring categories

Most frequent character per category

Uppercase Letter

Most occurring scripts

Most frequent character per script

Latin

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Category Frequency Plot

Most occurring characters

Most occurring categories

Most frequent character per category

Uppercase Letter

Most occurring scripts

Most frequent character per script

Latin

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Category Frequency Plot

Most occurring characters

Most occurring categories

Most frequent character per category

Uppercase Letter

Most occurring scripts